{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":26,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":26,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"7fdeff9e80bc","filters":{"venue":"Journal of Forest Economics"}},"results":[{"id":"W1970415148","doi":"10.1016/j.jfe.2010.07.001","title":"Carbon sequestration and the optimal forest harvest decision: A dynamic programming approach considering biomass and dead organic matter","year":2010,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta","funders":"International Institute for Applied Systems Analysis","keywords":"Carbon sequestration; Environmental science; Taiga; Biomass (ecology); Carbon fibers; Carbon cycle; Carbon sink; Organic matter; Boreal; Agroforestry; Forestry; Carbon dioxide; Ecology; Ecosystem; Mathematics; Geography; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.006886777862216755,"gpt":0.2083810392118771,"spread":0.2014942613496604,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005291249,0.0001293031,0.0001788814,0.00006204345,0.0001126089,0.0002483088,0.0001696048,0.00006563136,0.00007039265],"category_scores_gemma":[0.00002795697,0.00009144053,0.00004566734,0.00005784166,0.0004158574,0.0004133808,0.0001472897,0.0002151068,0.00001689534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004866331,"about_ca_system_score_gemma":0.00001674859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002347222,"about_ca_topic_score_gemma":0.002618568,"domain_scores_codex":[0.9992219,0.00001976401,0.0003504414,0.0001492811,0.00007438864,0.0001841864],"domain_scores_gemma":[0.9993778,0.00008316471,0.0002852808,0.0001506827,0.000008182866,0.00009481861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001786968,0.00005153423,0.9810023,0.00003478335,0.00005609226,0.00001318924,0.0007000057,0.005044713,0.0004294007,0.003746548,0.0001999997,0.008542693],"study_design_scores_gemma":[0.003045819,0.0002314755,0.8095487,0.00003002494,0.0001336466,0.001170794,0.0001741111,0.1716114,0.00004789343,0.007021544,0.006591171,0.000393396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971454,0.00003080835,0.0005264296,0.0004359287,0.0001305819,0.0001936586,7.25482e-7,0.000005769727,0.001530766],"genre_scores_gemma":[0.9895231,0.00004721931,0.01011589,0.00009678098,0.00008549901,0.000004392371,0.00000140824,0.00001592387,0.0001097489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1714536,"threshold_uncertainty_score":0.3728837,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2068189185","doi":"10.1016/j.jfe.2014.03.001","title":"The effect of collective forestland tenure reform in China: Does land parcelization reduce forest management intensity?","year":2014,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; Beijing Forestry University; National Natural Science Foundation of China; Sveriges Lantbruksuniversitet; University of Missouri","keywords":"China; Forest management; Land tenure; Intensity (physics); Business; Natural resource economics; Economics; Agricultural economics; Environmental science; Agroforestry; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.003177387466834395,"gpt":0.1985441989585889,"spread":0.1953668114917545,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001021697,0.0001435253,0.0002802971,0.0001243479,0.0001136409,0.00004894157,0.0003035902,0.0000550591,0.00002855726],"category_scores_gemma":[0.00005620087,0.00007971297,0.0001016536,0.0001663857,0.0001612685,0.000235818,0.000153602,0.0001463253,0.00002109287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004460668,"about_ca_system_score_gemma":0.0000111274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005897929,"about_ca_topic_score_gemma":0.008526639,"domain_scores_codex":[0.9989606,0.00005998132,0.0004942906,0.0001348953,0.0001210583,0.0002291628],"domain_scores_gemma":[0.999096,0.00009832329,0.000513202,0.0002167942,0.00001229772,0.00006339389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004954324,0.00002445546,0.9556866,0.00003367683,0.00004232882,0.000004712689,0.0002265594,0.0366233,0.000003460283,0.002794235,0.001410267,0.002654997],"study_design_scores_gemma":[0.001505279,0.0007244746,0.9646674,0.00005726182,0.00005090204,0.00001777572,0.00004545615,0.01114674,0.0001207608,0.01215872,0.009375297,0.000129924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975275,0.00001557407,0.0000555481,0.0004684,0.0002763814,0.0002796708,0.000001569128,0.000004017597,0.02362381],"genre_scores_gemma":[0.9980776,0.0002588912,0.0001338754,0.00003419913,0.0001118812,0.000006981356,0.000003044311,0.00001414202,0.001359421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02547656,"threshold_uncertainty_score":0.4758065,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1991106256","doi":"10.1016/j.jfe.2011.12.002","title":"Optimal forest harvest age considering carbon sequestration in multiple carbon pools: A comparative statics analysis","year":2012,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Carbon sequestration; Comparative statics; Biomass (ecology); Environmental science; Carbon fibers; Organic matter; Pulp and paper industry; Ecology; Mathematics; Economics; Biology; Carbon dioxide; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04217126765352515,"gpt":0.2660569132719365,"spread":0.2238856456184113,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005832749,0.000177604,0.0004023829,0.0002789729,0.00004484859,0.00007936943,0.0001969858,0.00006737433,0.00006025907],"category_scores_gemma":[0.00005420842,0.000174676,0.0001324922,0.0002796313,0.0001444816,0.0007754509,0.00008823572,0.0002040629,0.00002140354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004421681,"about_ca_system_score_gemma":0.00002649408,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003214552,"about_ca_topic_score_gemma":0.01952136,"domain_scores_codex":[0.9986109,0.00006703419,0.0006909089,0.0001360675,0.0001303519,0.0003647448],"domain_scores_gemma":[0.9989588,0.000140134,0.0005417896,0.0001733591,0.0000148021,0.000171104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003524272,0.00006311562,0.5833083,0.000003900961,0.00008403321,0.00001254327,0.001353123,0.4145798,0.00001955299,0.0004352115,0.00006070554,0.00004443545],"study_design_scores_gemma":[0.0008571705,0.0001618549,0.7588004,0.00001576965,0.0002880923,0.00001950006,0.0004922395,0.2362241,0.00009284067,0.0003505628,0.002423536,0.0002740094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899892,0.00004497431,0.0001101844,0.00008594105,0.0001563142,0.0001523892,0.00000453936,0.000007127435,0.009449348],"genre_scores_gemma":[0.9947386,0.00006101749,0.004792072,0.00007836767,0.0001477728,0.000004142878,0.00001067339,0.00001373764,0.000153585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1783557,"threshold_uncertainty_score":0.9983698,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2016301066","doi":"10.1016/j.jfe.2006.11.001","title":"The J-curve effect and the US–Canada forest products trade","year":2007,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Agricultural economics; International trade; International economics; Environmental science; Forestry; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01549006428171533,"gpt":0.1814273034940925,"spread":0.1659372392123772,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004012188,0.0002126002,0.0005851749,0.0000866269,0.0003076145,0.0002174354,0.0005445505,0.00008901706,0.000006884052],"category_scores_gemma":[0.000316012,0.0001435054,0.0001856519,0.0001003881,0.000269307,0.0003165302,0.00006120682,0.0003588855,0.0000161834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002961369,"about_ca_system_score_gemma":0.0001407885,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01186526,"about_ca_topic_score_gemma":0.1764454,"domain_scores_codex":[0.9979181,0.00002642151,0.001334554,0.0002324352,0.00003460756,0.0004539271],"domain_scores_gemma":[0.9974595,0.0007217575,0.001274265,0.0003580943,0.0000291554,0.0001572417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006449136,0.00004201097,0.5044381,0.00004530631,0.000261286,0.0000175568,0.0001808543,0.003020816,6.464114e-7,0.4836657,0.005709303,0.001973467],"study_design_scores_gemma":[0.003650737,0.0003181395,0.419152,0.00001688443,0.00004137511,0.0003543829,0.0001312134,0.001513538,0.00006599999,0.06008212,0.5143275,0.0003460649],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808578,0.004906273,0.00009133199,0.006868816,0.001770664,0.0002693651,0.0000259937,0.000004980845,0.005204703],"genre_scores_gemma":[0.995873,0.002558789,0.0001226613,0.0006576517,0.0006343877,0.000003259205,0.000001963393,0.00002603671,0.000122281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5086182,"threshold_uncertainty_score":0.9947148,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2137274029","doi":"10.1016/j.jfe.2009.11.002","title":"Contrasting two approaches in real options valuation: Contingent claims versus dynamic programming","year":2009,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; Ministry of Natural Resources","keywords":"Futures contract; Valuation (finance); Convenience yield; Economics; Dynamic programming; Discounting; Constant (computer programming); Econometrics; Yield (engineering); Investment (military); Actuarial science; Mathematical economics; Computer science; Spot contract; Financial economics; Mathematics; Mathematical optimization; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.09980356780401368,"gpt":0.2776634206280657,"spread":0.177859852824052,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001051898,0.0001505923,0.0005147828,0.0004580494,0.00008641032,0.0001409563,0.0001995594,0.00007843009,0.00002314296],"category_scores_gemma":[0.00005503916,0.0001644847,0.0002803253,0.0001806649,0.00004801068,0.0005504818,0.00001882002,0.0002258255,0.00002611505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003984412,"about_ca_system_score_gemma":0.00004375113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001123323,"about_ca_topic_score_gemma":0.0008110924,"domain_scores_codex":[0.9981935,0.00001711021,0.00127216,0.0002122937,0.00003319634,0.0002717257],"domain_scores_gemma":[0.9984561,0.00007463971,0.001169456,0.0001552913,0.00004234879,0.0001021838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001286928,0.0002229935,0.05396435,0.000007320933,0.0001394466,0.000009046978,0.0005679879,0.03578012,0.000004232902,0.9009256,0.00001972206,0.008230511],"study_design_scores_gemma":[0.008247348,0.0009050765,0.2781717,0.00006574576,0.0001505423,0.00004318323,0.001172289,0.3590154,0.00001772499,0.3490781,0.002463786,0.0006691414],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909261,0.00479905,0.0005427894,0.0006756923,0.0004729497,0.0001555806,0.00000826017,0.00001041263,0.002409139],"genre_scores_gemma":[0.9904277,0.004544233,0.004658838,0.00004117214,0.0002216945,0.000004382727,0.00001629428,0.00001359958,0.00007203705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5518475,"threshold_uncertainty_score":0.6707492,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2042058727","doi":"10.1016/j.jfe.2010.07.002","title":"U.S. softwood lumber demand and supply estimation using cointegration in dynamic equations","year":2010,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Cointegration; Softwood; Economics; Estimation; Econometrics; Supply and demand; Macroeconomics; Pulp and paper industry; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.007400660040508301,"gpt":0.2362377680017909,"spread":0.2288371079612826,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002901749,0.00006245889,0.00009311536,0.00008951894,0.00004686261,0.00005221402,0.00007668148,0.0000412337,0.0002441085],"category_scores_gemma":[0.0000429546,0.0000592484,0.00002755077,0.00005576208,0.00006777717,0.0005958237,0.00003281343,0.0001342641,0.00003628488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009251167,"about_ca_system_score_gemma":0.00001549653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003528275,"about_ca_topic_score_gemma":0.01089267,"domain_scores_codex":[0.9995039,0.00001028602,0.000275165,0.00006970437,0.00004365418,0.00009733729],"domain_scores_gemma":[0.9996307,0.00003752413,0.0002104465,0.00006896488,0.000005607464,0.00004668851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002193542,0.00005851486,0.722119,0.000008985854,0.000009949753,0.000003609219,0.0004650034,0.2606442,0.0008177034,0.006959921,0.0003087189,0.00858244],"study_design_scores_gemma":[0.0003439901,0.00003291926,0.2695005,0.000008602943,0.00001477183,0.00003297423,0.0000125273,0.7202654,0.00001850788,0.009292034,0.0004064432,0.00007129389],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953582,0.000006366291,0.003330688,0.0002285306,0.0001510271,0.00007084725,0.000001417525,0.000002481282,0.0008504734],"genre_scores_gemma":[0.990975,0.0000270674,0.008803074,0.00004630954,0.00003373844,7.466762e-7,0.000003083772,0.000006417486,0.0001045873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4596213,"threshold_uncertainty_score":0.6078365,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1995084187","doi":"10.1016/j.jfe.2007.10.001","title":"Revitalized? An event study of forest policy reform in British Columbia","year":2007,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"University of British Columbia","keywords":"Event (particle physics); Forestry; Economics; Political science; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01009543188080157,"gpt":0.2524415450959936,"spread":0.2423461132151921,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001255068,0.0001001196,0.0003291211,0.000154756,0.00005548551,0.00009866134,0.0004514441,0.00006162205,0.0003748249],"category_scores_gemma":[0.00003610659,0.0001348429,0.0001058443,0.0002335152,0.00009809923,0.0006693193,0.0001502062,0.0001577831,0.00003199505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008316005,"about_ca_system_score_gemma":0.00003567507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1707827,"about_ca_topic_score_gemma":0.8584945,"domain_scores_codex":[0.9983445,0.00002945576,0.0009920776,0.0001589593,0.0001549679,0.0003199834],"domain_scores_gemma":[0.9988759,0.00002422945,0.0006611754,0.0002556269,0.00001501658,0.0001680117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000450692,0.0005807719,0.9835287,0.00001141241,0.00001794691,0.00004517291,0.0004381484,0.007830421,0.000003275967,0.0002946231,0.000860696,0.006343734],"study_design_scores_gemma":[0.001372183,0.0009678762,0.9891687,0.00003109517,0.00001778224,0.00005923392,0.0004976945,0.0003127998,0.000002305952,0.002332664,0.00509976,0.000137898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991483,0.00002032539,0.00001026623,0.00006109966,0.000137046,0.0002681513,0.000003600489,0.000004429033,0.008012134],"genre_scores_gemma":[0.9983454,0.0001279629,0.0002070887,0.0001092918,0.0002063933,0.000001968767,0.000002206625,0.00001903237,0.000980602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6877118,"threshold_uncertainty_score":0.8347391,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2065872677","doi":"10.1078/1104-6899-00020","title":"Economic indicators of sustainable forest management: theory versus practice","year":2003,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Sustainability; Natural capital; Variety (cybernetics); Divergence (linguistics); Sustainable forest management; Forest management; Economics; Environmental resource management; Natural resource economics; Natural resource; Business; Ecology; Geography; Forestry; Ecosystem services","retraction":null,"screen_n_in":null,"score":{"opus":0.004758340320926345,"gpt":0.2107809097475731,"spread":0.2060225694266468,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00118624,0.0001694031,0.0002539039,0.0002156792,0.00009886746,0.00003588986,0.0003627549,0.00007465377,0.0007966863],"category_scores_gemma":[0.0001003845,0.0001677735,0.0001282031,0.0001247217,0.0002217198,0.00100479,0.0001628972,0.0001483056,0.000140206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001169986,"about_ca_system_score_gemma":0.00006654034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008010129,"about_ca_topic_score_gemma":0.00003443657,"domain_scores_codex":[0.9986313,0.00007175768,0.0006143824,0.0001742604,0.0001145471,0.000393735],"domain_scores_gemma":[0.9986057,0.0001779254,0.0008231826,0.0002318903,0.000006924831,0.0001544057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001204126,0.0003236975,0.2749415,0.00006917534,0.0003866066,0.000173385,0.001151945,0.1287848,0.00000583169,0.585129,0.003209878,0.004620096],"study_design_scores_gemma":[0.006816742,0.0008385438,0.2287439,0.00002580369,0.0003640615,0.0002041598,0.0376737,0.0001061884,0.0007959912,0.09537358,0.6282386,0.0008187639],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8620677,0.00005696388,0.0001002929,0.00008584382,0.000267799,0.0001543178,0.000001239126,0.000004191655,0.1372617],"genre_scores_gemma":[0.9951671,0.0004777751,0.002397639,0.0001150653,0.00004710543,0.000004770055,0.000001564191,0.00002566273,0.001763354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6250287,"threshold_uncertainty_score":0.8723156,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1981242896","doi":"10.1078/1104-6899-00016","title":"Is there an Environmental Kuznets Curve for clearcutting in Canadian forests?","year":2002,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Clearcutting; Kuznets curve; Economics; Environmental science; Forestry; Geography; Econometrics","retraction":null,"screen_n_in":null,"score":{"opus":0.02882734829577511,"gpt":0.2022421210887582,"spread":0.1734147727929831,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009699476,0.0002437165,0.0005841984,0.0005583454,0.0001087459,0.0001057388,0.0005077352,0.0001967352,0.0009665057],"category_scores_gemma":[0.00004504469,0.0003102036,0.000258775,0.00005587724,0.00008097105,0.0009138742,0.00004007381,0.0002751316,0.0002458676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307344,"about_ca_system_score_gemma":0.00003864632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009731538,"about_ca_topic_score_gemma":0.09949477,"domain_scores_codex":[0.9975077,0.00001824363,0.001392374,0.0004017801,0.00002491192,0.0006549832],"domain_scores_gemma":[0.9979789,0.00007297221,0.001121777,0.0003794476,0.00000697114,0.0004399208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001887613,0.0001186849,0.9644163,0.00001184738,0.00005396493,0.000009739178,0.0005118065,0.008554376,0.000002643291,0.02468902,0.0005394325,0.001073301],"study_design_scores_gemma":[0.002271331,0.0004450116,0.789896,0.00002468666,0.00001399776,0.00007499488,0.0002318073,0.06017632,0.00005495799,0.04443407,0.1017869,0.0005899314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928066,0.001217879,0.00015211,0.0007594808,0.000406493,0.0002162634,0.000236498,0.000005178373,0.004199466],"genre_scores_gemma":[0.9962346,0.001145232,0.001305828,0.0005306099,0.0003106211,0.00001273116,0.00001383966,0.00007690656,0.0003696075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1745203,"threshold_uncertainty_score":0.9999468,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2195146120","doi":"10.1108/j.jfe.2001.03.003","title":"Fuelwood Collection in North-eastern Zimbabwe: Valuation and Caloric Expenditures","year":2001,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"","keywords":"Caloric theory; Valuation (finance); Economics; Agricultural economics; Environmental science; Natural resource economics; Finance; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.01427063922129443,"gpt":0.2059934652179023,"spread":0.1917228259966078,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001757186,0.00007384401,0.0001097261,0.00006544392,0.00004347488,0.00002663781,0.0000728896,0.00004593887,0.0002065371],"category_scores_gemma":[0.0000114728,0.00006775352,0.00002964359,0.00005482338,0.00003887974,0.0005013914,0.00003064279,0.00009731603,0.0000375037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002327459,"about_ca_system_score_gemma":0.000008065148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003421545,"about_ca_topic_score_gemma":0.008257784,"domain_scores_codex":[0.9994377,0.00002208972,0.0002596524,0.00008602774,0.00006936092,0.0001251891],"domain_scores_gemma":[0.9996378,0.00002529613,0.0001864213,0.00006361934,0.000002000074,0.00008483244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003490839,0.00003887383,0.8437921,0.00000118042,0.000004298717,0.000006243174,0.0001856391,0.1528661,0.00003406389,0.00001616522,0.0001664807,0.002854007],"study_design_scores_gemma":[0.0005199134,0.0001170657,0.9933499,0.000004332576,0.000007330247,0.00009961567,0.00006625189,0.002555633,0.00002978929,0.001973228,0.001204758,0.00007221993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979216,0.00005516772,0.0001507579,0.0001620954,0.0001445376,0.00005104539,2.685101e-7,0.000002016918,0.00151251],"genre_scores_gemma":[0.9986073,0.0007934091,0.000241129,0.0000914386,0.00006930348,0.000001821144,0.000001414727,0.000006478628,0.0001877368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1503104,"threshold_uncertainty_score":0.4608037,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2964480981","doi":"10.1561/112.00000446","title":"Carbon Uptake and Forest Management under Uncertainty: Why Natural Disturbance Matters","year":2019,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Disturbance (geology); Forest management; Natural (archaeology); Environmental science; Carbon fibers; Natural resource economics; Natural forest; Environmental resource management; Economics; Forestry; Agroforestry; Geography; Mathematics; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.005479337576814682,"gpt":0.1928545868306065,"spread":0.1873752492537918,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002134556,0.0001608457,0.0002152033,0.00008383371,0.00004444136,0.00007877768,0.0002939334,0.00004075941,0.0002690663],"category_scores_gemma":[0.000002522143,0.0001384411,0.00008825428,0.00007128381,0.0001106337,0.0003368135,0.0001856609,0.0001514803,0.0001674134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002301824,"about_ca_system_score_gemma":0.000005966152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003652124,"about_ca_topic_score_gemma":0.0007618266,"domain_scores_codex":[0.9990584,0.00001368375,0.0003623289,0.0001853055,0.0001153873,0.0002648673],"domain_scores_gemma":[0.9993501,0.000026853,0.0003057672,0.0002103927,0.000005815476,0.0001010479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001295762,0.00004597405,0.7621753,0.00005586004,0.0001133838,0.00001862794,0.0001792988,0.2009974,0.00001458022,0.0152335,0.01838994,0.002646505],"study_design_scores_gemma":[0.001195269,0.000148868,0.8282002,0.00003995459,0.00006320531,0.00004373873,0.0001095786,0.02273493,0.000003322733,0.006779798,0.140385,0.000296152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848099,0.00008132064,0.00001105545,0.001934554,0.0006026654,0.0001757464,0.000001556909,0.00000724958,0.01237593],"genre_scores_gemma":[0.9931709,0.0002266558,0.0003093655,0.002459131,0.0001024074,0.000002039412,0.000002644939,0.00001870302,0.003708185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1782625,"threshold_uncertainty_score":0.5645465,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2056117360","doi":"10.1016/j.jfe.2009.05.002","title":"Assessing costs and benefits of pest management on forested landbases in eastern and western Canada","year":2009,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Spruce budworm; Net present value; Choristoneura fumiferana; Cost–benefit analysis; License; Forest protection; Integrated pest management; Liberian dollar; Agricultural science; Pest control; Forestry; Forest management; PEST analysis; Environmental science; Agroforestry; Business; Tortricidae; Agricultural economics; Geography; Ecology; Economics; Biology; Production (economics); Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.01477214278560954,"gpt":0.2289931480566961,"spread":0.2142210052710866,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001696653,0.00009607996,0.0001763119,0.00009321843,0.00002655929,0.00005266649,0.0001108436,0.00002366435,0.00001774414],"category_scores_gemma":[0.000005815661,0.00008630614,0.00001928261,0.00005016486,0.00004001538,0.0003267385,0.00005459864,0.00007018191,0.000002536025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001557749,"about_ca_system_score_gemma":0.00001416941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02444412,"about_ca_topic_score_gemma":0.3753679,"domain_scores_codex":[0.9993433,0.00001367393,0.0003142803,0.0001021849,0.00008453991,0.000142056],"domain_scores_gemma":[0.9995435,0.00003454108,0.0002545843,0.00008557391,0.000004264954,0.00007746344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004201235,0.00004050792,0.9617818,0.00001696904,0.000009147101,0.0000185776,0.0000518583,0.01369185,0.000001430762,0.000951951,0.0003161929,0.02307768],"study_design_scores_gemma":[0.0006609029,0.0001765069,0.9960479,0.0001034426,0.00001435682,0.00001654168,0.00004075271,0.001015492,0.00001294594,0.0002919579,0.001533093,0.00008617031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938298,0.00005933251,0.000003357546,0.0003840071,0.00005769955,0.00008052016,0.000002361647,0.00000139359,0.005581473],"genre_scores_gemma":[0.9990373,0.0002955298,0.0001636756,0.000297897,0.00003107823,4.211657e-7,0.000001120324,0.000005531942,0.0001675043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3509238,"threshold_uncertainty_score":0.9820522,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2103582910","doi":"10.1016/j.jfe.2005.07.002","title":"Economic efficiency and shadow prices of social and biological outputs of village-level organizations of joint forest management in Gujarat, India","year":2005,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Shadow price; Joint Forest Management; Shadow (psychology); Joint (building); Natural resource economics; Economics; Forest management; Business; Agricultural economics; Geography; Forestry; Mathematics; Engineering; Civil engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01859959696848254,"gpt":0.202997569720992,"spread":0.1843979727525095,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003102169,0.0000805273,0.0002334965,0.0001456833,0.00005007682,0.00001168417,0.000151586,0.0000493718,0.00007833196],"category_scores_gemma":[0.00001117908,0.00007091897,0.00004221986,0.00008420281,0.0002365851,0.0001247541,0.0002301879,0.0000487888,0.000002691028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001090077,"about_ca_system_score_gemma":0.00001396926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001086763,"about_ca_topic_score_gemma":0.0009098404,"domain_scores_codex":[0.9991903,0.00001595462,0.0005243307,0.0001140851,0.00005558603,0.0000997548],"domain_scores_gemma":[0.999271,0.00002609987,0.0005814416,0.00006727398,0.00001466313,0.00003954446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002225406,0.00009741956,0.9839717,0.00002682562,0.00002815655,9.488963e-7,0.0009460475,0.01238427,0.00006504334,0.001149094,0.00004816783,0.001260143],"study_design_scores_gemma":[0.0005867042,0.0001037135,0.9965722,0.00001020269,0.00002167072,0.000003915411,0.0005847646,0.001025156,0.0001007152,0.0003505333,0.0005731189,0.00006729015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982239,0.00004773294,0.0001702716,0.0002599604,0.00003521679,0.0001283804,0.00001501651,0.000001333691,0.001118175],"genre_scores_gemma":[0.9982406,0.000416082,0.001252123,0.00003451588,0.00002233784,4.357054e-7,0.000001832409,0.000003449435,0.00002863236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01260058,"threshold_uncertainty_score":0.2891991,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W175155875","doi":"10.1108/j.jfe.2001.12.004","title":"Wood Trade Flows: an Empirical Analysis of Greek Wood Imports","year":2001,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institute of Aging","funders":"","keywords":"Economics; International economics; Environmental science; International trade","retraction":null,"screen_n_in":null,"score":{"opus":0.06171463112932691,"gpt":0.2511199977640572,"spread":0.1894053666347303,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009519932,0.0002685628,0.001436632,0.001081143,0.00006752136,0.00009652753,0.0005941937,0.0002282496,0.0003425482],"category_scores_gemma":[0.0000491666,0.0003064901,0.0009044586,0.0005274932,0.00007979668,0.000953483,0.00004735119,0.0002912469,0.0000421106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002529621,"about_ca_system_score_gemma":0.00008326571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001460076,"about_ca_topic_score_gemma":0.0008979524,"domain_scores_codex":[0.9966018,0.00001982848,0.002520446,0.0003793564,0.00004084169,0.0004377941],"domain_scores_gemma":[0.9967737,0.00006923942,0.002237016,0.0005237575,0.00003859284,0.0003577195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001500575,0.0005118348,0.9242076,0.0000161457,0.001660489,0.00005800006,0.0005387983,0.05255084,0.000005729089,0.01865123,0.000597369,0.001051876],"study_design_scores_gemma":[0.002235662,0.0009762441,0.8275612,0.00002039568,0.00073211,0.0004627056,0.0004465758,0.05796435,0.00003739601,0.05123372,0.05754116,0.0007884538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926262,0.0007148619,0.0007021381,0.0007079057,0.0006301498,0.00009345984,0.0001547679,0.0000113885,0.004359105],"genre_scores_gemma":[0.9955996,0.001746008,0.001818484,0.0003939157,0.0003293585,0.000002068169,0.00002720909,0.00003556013,0.00004782202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09664641,"threshold_uncertainty_score":0.9999387,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3194416414","doi":"10.1561/112.00000541","title":"Designing Voluntary Subsidies for Forest Owners under Imperfect Information","year":2021,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Agence Nationale de la Recherche; European Commission; Alberta Machine Intelligence Institute","keywords":"Subsidy; Turnover; Imperfect; Perfect information; Natural resource economics; Economics; Business; Forestry; Environmental science; Microeconomics; Geography; Market economy","retraction":null,"screen_n_in":null,"score":{"opus":0.05857575700544583,"gpt":0.2085717028031511,"spread":0.1499959457977053,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007658962,0.0001495557,0.0004168276,0.0002008795,0.0001125351,0.000113644,0.0001631819,0.0001074651,0.0001310438],"category_scores_gemma":[0.00008921202,0.0001709129,0.0002800148,0.00005304106,0.00004754935,0.001623145,0.00004026288,0.0001316567,0.0001404413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004437978,"about_ca_system_score_gemma":0.00008398591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004755492,"about_ca_topic_score_gemma":0.0001624569,"domain_scores_codex":[0.9984144,0.00001099226,0.00116386,0.0001555078,0.00002094343,0.0002342695],"domain_scores_gemma":[0.9984332,0.0001169931,0.001129388,0.0001747798,0.00005217564,0.00009342231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008039166,0.00006268374,0.765229,0.00005806287,0.0002114272,0.000002053245,0.0005599823,0.1371689,0.00003919926,0.09320765,0.001880431,0.001500116],"study_design_scores_gemma":[0.003536748,0.0004331508,0.7586742,0.00004734036,0.00007817081,0.0001642399,0.001995087,0.01661957,0.001021738,0.1806679,0.03612803,0.0006338261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413236,0.0007067152,0.05483355,0.0005674681,0.0008359235,0.0001397283,0.00005810483,0.000007114992,0.001527813],"genre_scores_gemma":[0.9891615,0.0009581428,0.008747499,0.0005696379,0.0002629061,0.00001086221,0.00006967665,0.00002388316,0.0001959272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1205494,"threshold_uncertainty_score":0.6969625,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2060674783","doi":"10.1016/j.jfe.2005.05.001","title":"A mill-specific roundwood demand equation for southern and central Finland","year":2005,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Mill; Economics; Forestry; Environmental science; Econometrics; Agricultural economics; Geography; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.01533943208576454,"gpt":0.2078768062811714,"spread":0.1925373741954069,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002010701,0.00007744448,0.0001154266,0.00004054733,0.00006345307,0.00006355543,0.0001072259,0.00003540644,0.0003183571],"category_scores_gemma":[0.000009000234,0.00006779545,0.00006317308,0.00002348641,0.00005134613,0.0003189877,0.0000324042,0.00005149401,0.0001449419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001104138,"about_ca_system_score_gemma":0.000007287097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002993615,"about_ca_topic_score_gemma":0.0002691892,"domain_scores_codex":[0.9994202,0.000008824696,0.0002639915,0.00008730106,0.00004533739,0.0001743792],"domain_scores_gemma":[0.9995853,0.00004056458,0.0002145155,0.00007102405,0.00000522044,0.00008336746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005008,0.000195167,0.6058637,0.0000386921,0.0001054971,0.000004061821,0.004326111,0.2387872,0.0001190628,0.01210358,0.05810765,0.07984851],"study_design_scores_gemma":[0.002729124,0.0003517776,0.147005,0.00001694915,0.00005797986,0.00004578773,0.0001045129,0.0475629,0.0000567112,0.01112338,0.790657,0.0002888759],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950318,0.0001216484,0.002034,0.0006856414,0.0001091352,0.0001151814,0.000006140452,0.000002480434,0.00189393],"genre_scores_gemma":[0.9932913,0.0003377382,0.004091894,0.0001630757,0.0005000315,0.000001995706,0.000002476069,0.00001135774,0.00160018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7325494,"threshold_uncertainty_score":0.3485787,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2529484772","doi":"10.1016/j.jfe.2017.09.002","title":"Forest land value and rotation with an alternative land use","year":2017,"lang":"en","type":"preprint","venue":"Journal of Forest Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Value (mathematics); Rotation (mathematics); Land value; Function (biology); Constant (computer programming); Tree (set theory); Land use; Mathematics; Agroforestry; Economics; Computer science; Natural resource economics; Ecology; Environmental science; Statistics; Combinatorics; Geometry; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.02277319866739666,"gpt":0.2510576563490637,"spread":0.2282844576816671,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003437315,0.0002089977,0.0003002755,0.0001012664,0.0001183904,0.0004568963,0.0004280782,0.0001076703,0.00007905878],"category_scores_gemma":[0.0000313383,0.0001660408,0.00006844715,0.00001493583,0.000191784,0.001056264,0.0003646944,0.0003163532,0.00003138752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001577972,"about_ca_system_score_gemma":0.00004041265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00406998,"about_ca_topic_score_gemma":0.009799932,"domain_scores_codex":[0.9990911,0.00003314063,0.0003411665,0.0002314039,0.0001216782,0.000181487],"domain_scores_gemma":[0.9983181,0.00004436008,0.001113849,0.0003417299,0.00002097105,0.0001609866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000133748,0.00002923191,0.8178893,0.00003997936,0.00005790923,0.00002006416,0.000257826,0.179569,3.178819e-7,0.0007683726,0.0003910888,0.0008432264],"study_design_scores_gemma":[0.0009520917,0.0005115983,0.929279,0.0002152218,0.0001120121,0.00007192716,0.00001225712,0.03871929,0.000006201682,0.02166111,0.008123616,0.0003356859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957187,0.00002754166,0.0001404346,0.0002346279,0.0002999635,0.0001961902,0.0000217366,0.000005435586,0.003355376],"genre_scores_gemma":[0.9946057,0.0009551937,0.002967961,0.0001200126,0.0004978101,0.000004549561,0.00002818758,0.00003054529,0.0007901047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1408497,"threshold_uncertainty_score":0.6770946,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3162582394","doi":"10.1561/112.00000536","title":"A Theoretical Modeling Framework to Support Investment Decisions in Green and Grey Infrastructure under Risk and Uncertainty","year":2021,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Investment (military); Green infrastructure; Investment decisions; Economics; Business; Actuarial science; Environmental resource management; Microeconomics; Production (economics); Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.04206011326472262,"gpt":0.3215931603380741,"spread":0.2795330470733515,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00157258,0.0001103287,0.0002921178,0.0003826334,0.00009147826,0.0002733509,0.000219539,0.00008390277,0.0002367421],"category_scores_gemma":[0.001030745,0.00008396112,0.00006391676,0.0002817134,0.0001111273,0.0003758935,0.0002343691,0.0003189011,0.000006194884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006332539,"about_ca_system_score_gemma":0.0001759286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002568792,"about_ca_topic_score_gemma":0.0006175115,"domain_scores_codex":[0.9985323,0.00007306849,0.0007889188,0.0002353619,0.0002090615,0.0001613224],"domain_scores_gemma":[0.9985265,0.0006114609,0.0002694317,0.0002245129,0.0001800191,0.0001881468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001169609,0.00001589539,0.243432,0.000002762542,0.00002491677,0.00002021932,0.0008025124,0.2784747,0.000001570531,0.3934483,0.0001981571,0.08346194],"study_design_scores_gemma":[0.0003646548,0.00008937426,0.04426888,0.00002933593,0.00001565895,0.0001642347,0.001041974,0.1172381,0.000003002872,0.8348272,0.001865325,0.00009222013],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753571,0.00007270288,0.02229001,0.001201217,0.0002880302,0.00007626107,0.00000731764,0.000002368109,0.0007049618],"genre_scores_gemma":[0.986097,0.0007820604,0.01213126,0.000857032,0.00009014992,0.000001185521,6.499189e-7,0.000006162922,0.00003454265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4413789,"threshold_uncertainty_score":0.3423835,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2900666964","doi":"10.1016/j.jfe.2018.10.004","title":"Economic impacts of conservation area strategies in Alberta, Canada: A CGE model analysis","year":2018,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Computable general equilibrium; Natural resource economics; Economic impact analysis; Rationalization (economics); Economics; Natural resource; Land use; Environmental resource management; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.04722418757773488,"gpt":0.2118162035194644,"spread":0.1645920159417295,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006287943,0.000152841,0.0006887823,0.0004841838,0.00003613194,0.00004220969,0.0002360391,0.00009350169,0.0002250838],"category_scores_gemma":[0.00003358628,0.0001820415,0.0001953676,0.0001123415,0.00009837987,0.0007528498,0.00003220202,0.0001124608,0.00002827839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00110717,"about_ca_system_score_gemma":0.0005282973,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4382286,"about_ca_topic_score_gemma":0.9427796,"domain_scores_codex":[0.9979416,0.00001120467,0.001601506,0.0002067842,0.00002210088,0.0002168649],"domain_scores_gemma":[0.997748,0.00007819018,0.001819854,0.0002306842,0.00002771834,0.00009553758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003480142,0.00002861693,0.7241624,0.000007215943,0.0001755158,5.439099e-7,0.0002336945,0.2353188,0.0000031686,0.0397829,0.0002296875,0.00002263237],"study_design_scores_gemma":[0.000645846,0.0001015396,0.6699209,0.000009828942,0.00005254093,0.000005182883,0.0001964688,0.3020852,0.00006595365,0.02644533,0.000305817,0.0001654218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937542,0.000109813,0.001646928,0.0004129554,0.0002381167,0.00008471283,0.00008110446,0.000001503169,0.003670647],"genre_scores_gemma":[0.9986901,0.0002598557,0.0006814102,0.0001623461,0.00008584719,0.000002329715,0.00001585812,0.00001595396,0.00008627383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.504551,"threshold_uncertainty_score":0.7423435,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2029913253","doi":"10.1016/j.jfe.2009.01.001","title":"Use of composite forest commodity price indices for cointegration analysis","year":2009,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Cointegration; Econometrics; Commodity; Economics; Product (mathematics); Spot contract; Forest product; Time series; Financial economics; Mathematics; Statistics; Finance; Geography; Forestry","retraction":null,"screen_n_in":null,"score":{"opus":0.03826698606753549,"gpt":0.2397128765651756,"spread":0.2014458904976401,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001107103,0.0001482216,0.0008084528,0.0005613664,0.00007341929,0.0001121563,0.0002749797,0.000113617,0.00003130216],"category_scores_gemma":[0.000136509,0.0001560569,0.0005512279,0.000236556,0.00004973776,0.0006573729,0.00002070924,0.0001589712,0.000001493835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001458658,"about_ca_system_score_gemma":0.00004159553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001869143,"about_ca_topic_score_gemma":0.001039849,"domain_scores_codex":[0.9980694,0.00001718486,0.001506022,0.0001893794,0.00002948013,0.0001885098],"domain_scores_gemma":[0.9966093,0.0002442299,0.002594969,0.0002825856,0.0001670845,0.0001018583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002131437,0.0001793167,0.9143673,0.00002526587,0.0003439047,6.169782e-7,0.0001069485,0.01081407,0.000005115899,0.07313518,0.0002320543,0.0005770347],"study_design_scores_gemma":[0.000458231,0.0002550695,0.6302299,0.000009393386,0.0001044648,0.000004162948,0.00001205611,0.302433,0.00001419925,0.06235088,0.003997547,0.0001310975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9396576,0.0001553444,0.05852332,0.0003052213,0.0002024172,0.0001717911,0.0003646971,0.000004412704,0.0006152167],"genre_scores_gemma":[0.9918921,0.000242256,0.007525912,0.0001235478,0.0000907038,0.000001703207,0.00005702976,0.00001013587,0.00005659782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2916189,"threshold_uncertainty_score":0.6363815,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123112265","doi":"10.1108/j.jfe.2001.12.003","title":"Welfare Implications of the Allowable Cut Effect in the Context of Sustained Yield and Sustainable Development Forestry","year":2001,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Agriculture Food and Rural Development","funders":"","keywords":"Yield (engineering); Welfare; Context (archaeology); Sustainable development; Economics; Forestry; Natural resource economics; Political science; Physics; Geography; Market economy","retraction":null,"screen_n_in":null,"score":{"opus":0.008133451360486647,"gpt":0.1999263791835712,"spread":0.1917929278230846,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000637362,0.00007042274,0.0001335384,0.000036059,0.00008947976,0.00001355274,0.0002856817,0.00002877647,0.0000792248],"category_scores_gemma":[0.00003777559,0.00004436514,0.0000499341,0.00008927014,0.0001204095,0.0001656013,0.000160092,0.00008275899,0.000001306512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000169047,"about_ca_system_score_gemma":0.00002016268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000336714,"about_ca_topic_score_gemma":0.002003718,"domain_scores_codex":[0.9993029,0.00003028159,0.0003792036,0.00007304805,0.00007576378,0.0001388089],"domain_scores_gemma":[0.9993799,0.00008334218,0.0003348406,0.0001643407,0.000008215559,0.00002932941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004623249,0.00007130088,0.9864012,0.00002919204,0.00001604817,0.000003152717,0.0005960713,0.00281231,0.0000869274,0.00753238,0.0008796504,0.001525549],"study_design_scores_gemma":[0.0004483932,0.00009555763,0.9619312,0.00001393629,0.00001501332,0.00001580401,0.004712613,0.00006636135,0.0005920185,0.001268242,0.03078721,0.00005361481],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915532,0.00002835159,0.00006091089,0.004995302,0.00002212452,0.0002562549,7.810788e-7,8.924321e-7,0.003082221],"genre_scores_gemma":[0.9988273,0.00009224396,0.0001135906,0.0005443102,0.000005605959,0.00000758641,6.468874e-7,0.000004553202,0.00040412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02990756,"threshold_uncertainty_score":0.1809158,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3205906111","doi":"10.1561/112.00000534","title":"A Gravity Model of Softwood Lumber Trade: An Application to the Canada-U.S. Trade Dispute","year":2021,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Victoria","funders":"","keywords":"Tariff; Gravity model of trade; China; Economics; Softwood; Value (mathematics); International economics; International trade; Agricultural economics; Geography; Pulp and paper industry; Engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.009555421804016079,"gpt":0.2099974823765521,"spread":0.2004420605725361,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002075295,0.00007915444,0.0001435558,0.00001877222,0.00005590184,0.00002333194,0.0003159065,0.00002750053,0.00006048777],"category_scores_gemma":[0.000008860641,0.00006354746,0.00006930976,0.00008604436,0.0000428079,0.000206177,0.00006226356,0.00009698698,0.00000918587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001808068,"about_ca_system_score_gemma":0.0001106498,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02418648,"about_ca_topic_score_gemma":0.5788232,"domain_scores_codex":[0.9992996,0.00001916075,0.0003218859,0.0001092283,0.0001068398,0.0001432871],"domain_scores_gemma":[0.9993853,0.00001738424,0.0002323382,0.0002365185,0.000004629673,0.0001238248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00002688669,0.0001047952,0.05974657,0.000009571903,0.00002884591,0.000003276654,0.0004709326,0.9002321,0.000254044,0.006586887,0.02353462,0.009001506],"study_design_scores_gemma":[0.0006728214,0.000162578,0.5216845,0.00001262313,0.0001107267,0.00006018385,0.0001068361,0.3250367,0.0007980089,0.009973378,0.1410474,0.0003341977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916068,0.00001139379,0.001531773,0.005152614,0.00009003242,0.00009539898,0.00001909007,0.000002101621,0.001490773],"genre_scores_gemma":[0.9978288,0.00003398575,0.001047278,0.0007604612,0.00009746615,0.000002754035,0.000004206652,0.000009178454,0.0002159072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5751953,"threshold_uncertainty_score":0.9823115,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391997941","doi":"10.1561/112.00000571","title":"Estimating the Effects of Covid-19 and Softwood Lumber Prices","year":2024,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Victoria; University of Saskatchewan","funders":"","keywords":"Softwood; Coronavirus disease 2019 (COVID-19); Economics; Econometrics; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Environmental science; Pulp and paper industry; Engineering; Biology; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.007425337729623586,"gpt":0.2421678481151903,"spread":0.2347425103855667,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003567542,0.00006429142,0.000107083,0.00004020558,0.00005278982,0.00006439973,0.0001644045,0.00002275104,0.0001478257],"category_scores_gemma":[0.00009966802,0.0000425517,0.00005602226,0.00005973789,0.0001315848,0.0002619382,0.00009751058,0.00008864133,0.00004274315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000687013,"about_ca_system_score_gemma":0.0000230876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001657168,"about_ca_topic_score_gemma":0.0001222742,"domain_scores_codex":[0.9995297,0.00001344845,0.0002311949,0.00007253916,0.00005484903,0.00009828249],"domain_scores_gemma":[0.9993998,0.0002624749,0.0001779394,0.00008243194,0.000002294632,0.00007501328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000653463,0.0001094531,0.6226676,0.002124391,0.000312746,0.00009493833,0.00742995,0.2070116,0.0001868117,0.03713828,0.07409138,0.04876754],"study_design_scores_gemma":[0.001918257,0.001107043,0.2629767,0.0003983258,0.0005123613,0.0007293394,0.0001550057,0.2994968,0.0002744574,0.1091271,0.3226543,0.0006502238],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954801,0.0003023069,0.0004110093,0.0007756781,0.0003631676,0.00007892541,8.775505e-7,0.000005669664,0.002582228],"genre_scores_gemma":[0.9970847,0.0001224779,0.001899884,0.0002898477,0.000158362,0.000001326698,2.697707e-7,0.000008246946,0.0004348963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3596908,"threshold_uncertainty_score":0.1735208,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7155159179","doi":"10.1108/j.jfe.2001.07.005","title":"Canadian Newsprint in the United States: a Multivariate Cointegration Analysis","year":2001,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Newsprint; Cointegration; Multivariate statistics; Multivariate analysis; Ordinary least squares","retraction":null,"screen_n_in":null,"score":{"opus":0.05671109011207096,"gpt":0.235446462952729,"spread":0.178735372840658,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001429745,0.0001465265,0.0004811663,0.001773464,0.00007743914,0.0001451612,0.0003989023,0.00008882563,0.0002596606],"category_scores_gemma":[0.00006946755,0.0001295979,0.0002761982,0.0005030307,0.00003115892,0.0003944239,0.00001265298,0.0002707066,0.0001182367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006018243,"about_ca_system_score_gemma":0.00007151377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4705971,"about_ca_topic_score_gemma":0.4821786,"domain_scores_codex":[0.9982716,0.00003412268,0.001172207,0.0001661986,0.00001649536,0.0003393634],"domain_scores_gemma":[0.9986023,0.0000955404,0.0008195803,0.0002827304,0.00002105794,0.0001787512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00003570562,0.00003821602,0.3838185,0.000002179116,0.0001763761,0.00001836503,0.0016615,0.5945744,1.214826e-7,0.01910544,0.0004297777,0.0001394818],"study_design_scores_gemma":[0.0008358093,0.0001076357,0.4790027,0.00000736531,0.00006139081,0.00008025705,0.0006292817,0.422123,0.000001172716,0.03297891,0.06395096,0.0002215663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991779,0.0001177682,0.00208191,0.003737347,0.0002095771,0.0001055893,0.0000652279,0.000002928859,0.001900707],"genre_scores_gemma":[0.9969025,0.0008915283,0.0003016676,0.001575451,0.0001447085,0.000002697807,0.00004842714,0.00001243689,0.0001205775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1724514,"threshold_uncertainty_score":0.5329282,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400778471","doi":"10.1561/112.00000579","title":"The Impact of Forest Policy Modernization in British Columbia: A Stock Market Perspective","year":2024,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Modernization theory; Perspective (graphical); Stock market; Stock (firearms); Economics; Natural resource economics; Forestry; Agricultural economics; Geography; Economic growth; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.006805596908157408,"gpt":0.2444394854229602,"spread":0.2376338885148027,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004182231,0.00007606322,0.000164433,0.00009415375,0.00006783522,0.000323398,0.000276911,0.00004726004,0.0004786428],"category_scores_gemma":[0.00007773994,0.00007949182,0.0001744333,0.0002343485,0.0001439227,0.0004766819,0.00009428481,0.000156556,0.00003003254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024804,"about_ca_system_score_gemma":0.0001208727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07675411,"about_ca_topic_score_gemma":0.2558692,"domain_scores_codex":[0.9991589,0.00003091444,0.0004014608,0.0001152018,0.00008638248,0.0002071895],"domain_scores_gemma":[0.9994808,0.00008463614,0.0002247695,0.0001249758,0.00001811904,0.00006663987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003830868,0.00005387201,0.8472195,0.00001250385,0.00006778362,0.00001798151,0.0004584517,0.1053792,0.000002545991,0.001988014,0.03986994,0.004891977],"study_design_scores_gemma":[0.0002902741,0.0001899866,0.8886424,0.00003849582,0.0000147395,0.00006468404,0.00009121111,0.07783444,4.485433e-7,0.03033942,0.002405365,0.0000885106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982479,0.0001695173,0.00004818547,0.0003546078,0.0001142006,0.0001456665,0.00001326946,0.000005129223,0.01667038],"genre_scores_gemma":[0.9958104,0.0007283862,0.00006471192,0.00002245854,0.0001777535,0.000002660411,0.000001118531,0.00001695181,0.003175527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.179115,"threshold_uncertainty_score":0.9293939,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3207734094","doi":"10.1561/112.00000535","title":"On the Asymmetric Effects of Exchange Rate Changes on Trade Flows: Evidence from the U.S.-Canada Trade in Forest Products","year":2021,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Exchange rate; International economics; International trade; Monetary economics","retraction":null,"screen_n_in":null,"score":{"opus":0.0480096750611566,"gpt":0.198996791723361,"spread":0.1509871166622044,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001191845,0.0002672482,0.0007634839,0.0002157843,0.00009032746,0.0001005048,0.000743202,0.0001213327,0.00003525681],"category_scores_gemma":[0.001331745,0.0002107205,0.0002043854,0.0004157691,0.00006506429,0.0002308131,0.00006074157,0.0004938246,0.00001993559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000516502,"about_ca_system_score_gemma":0.0002980144,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01137559,"about_ca_topic_score_gemma":0.2203399,"domain_scores_codex":[0.9979258,0.00009260443,0.001136963,0.0003892138,0.00006262205,0.0003928682],"domain_scores_gemma":[0.9955564,0.002424539,0.001279299,0.0006043207,0.00002833249,0.0001071409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001176384,0.001490007,0.4100931,0.0007909312,0.001328039,0.0004658305,0.003871149,0.1242949,0.0001820374,0.3996215,0.04321335,0.01347273],"study_design_scores_gemma":[0.002040645,0.0007975171,0.907423,0.0006714481,0.00006143704,0.00004432365,0.0003515277,0.003699053,0.003941985,0.04570614,0.03468695,0.0005759361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628613,0.006614516,0.0000136251,0.02769076,0.001666447,0.0002984374,0.0001236168,0.000003493826,0.0007278168],"genre_scores_gemma":[0.9892768,0.007345794,0.00009547362,0.002682239,0.0005144493,0.00001318952,0.000006271735,0.00003285129,0.0000329713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4973299,"threshold_uncertainty_score":0.9952077,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}