{"meta":{"query_hash":"9f62f909fa6c","filters":{"venue":"Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)"},"cohort_total":8,"direct_labels_cover":0,"predictions_cover":8,"exported":8,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/9f62f909fa6c","api":"https://metacan.xera.ac/api/v1/cohort?venue=Mathematical+and+Computational+Forestry+%26+Natural-Resource+Sciences+%28MCFNS%29"},"results":[{"id":"W133529867","doi":"","title":"Self-thinning Limits in Two and Three Dimensions","year":2012,"lang":"en","type":"article","venue":"Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)","topic":"Forest ecology and management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Thinning; Limiting; Mathematics; Forestry; Engineering; Geography","score_opus":0.011510657554588865,"score_gpt":0.2552949148271537,"score_spread":0.24378425727256486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W133529867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98907405,0.00030316119,0.0012596387,0.0009172911,0.000067864705,0.00022124787,0.000001025108,0.000047942456,0.008107783],"genre_scores_gemma":[0.9778924,0.0000042862584,0.021363584,0.00048225693,0.000030051855,0.000015360974,0.0000028512213,0.000005867889,0.00020333579],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986253,0.000045500186,0.00023408484,0.00030781992,0.00037078184,0.00041651595],"domain_scores_gemma":[0.9992826,0.00040630455,0.00006356697,0.00008581059,0.000005731343,0.00015599604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062152586,0.00015317008,0.00016176543,0.00007042537,0.0004010478,0.00005978216,0.00018853981,0.000047208076,0.00021895052],"category_scores_gemma":[0.00007551056,0.0001146591,0.000029948047,0.00031368347,0.00068393344,0.00035015968,0.00035683025,0.00019660729,0.000113427464],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015897274,0.00030984927,0.24779907,0.000059542523,0.000020334595,0.000011598577,0.0015538031,0.017807774,0.00003240371,0.7290337,0.0006369022,0.0027190836],"study_design_scores_gemma":[0.00039710882,0.00005647696,0.34555393,0.000037079284,0.000018293998,0.000067703775,0.00021600047,0.24820913,0.00000905286,0.40423238,0.0009801044,0.00022273949],"about_ca_topic_score_codex":0.000022327686,"about_ca_topic_score_gemma":0.00004847816,"teacher_disagreement_score":0.32480136,"about_ca_system_score_codex":0.000036501253,"about_ca_system_score_gemma":0.000008259411,"threshold_uncertainty_score":0.46756625},"labels":[],"label_agreement":null},{"id":"W1495664568","doi":"","title":"Review of “An overview of methods for incorporating wildfires into forest planning models”","year":2010,"lang":"en","type":"article","venue":"Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Jargon; Presentation (obstetrics); Subject (documents); Sentence; Space (punctuation); Skepticism; Computer science; History; Operations research; Sociology; Linguistics; Epistemology; Artificial intelligence; Library science; Engineering; Philosophy","score_opus":0.052845854267748696,"score_gpt":0.38109195821788605,"score_spread":0.32824610395013737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1495664568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96052676,0.0072134263,0.023414595,0.0010736042,0.00011941184,0.0009795157,0.000013383066,0.00005611455,0.006603176],"genre_scores_gemma":[0.5929916,0.00006478891,0.40616652,0.000562567,0.000047413225,0.000030173716,0.000025992498,0.000012034754,0.00009890419],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984259,0.00007543933,0.0005441119,0.0003328345,0.0003887636,0.00023296759],"domain_scores_gemma":[0.99867076,0.0006752541,0.00033130692,0.00017656873,0.00003253989,0.00011359912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013757753,0.00018136603,0.00034472632,0.00007601757,0.0002461993,0.000043164393,0.00049245177,0.00006303841,0.0001501212],"category_scores_gemma":[0.00030062345,0.0001329869,0.000107312655,0.00043713648,0.0010364635,0.00040523082,0.00028573425,0.00016843293,0.00000698818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004383779,0.0002484049,0.0050510024,0.0075544794,0.000041618867,0.0000013385728,0.0010836341,0.12303369,0.0006179256,0.789765,0.0018051304,0.07075394],"study_design_scores_gemma":[0.00012741254,0.00009490126,0.0012057417,0.0007433474,0.000022881597,0.000008486795,0.00003451507,0.5630771,0.000037087477,0.43362218,0.00090203935,0.0001243538],"about_ca_topic_score_codex":0.00008727563,"about_ca_topic_score_gemma":0.000011478173,"teacher_disagreement_score":0.4400434,"about_ca_system_score_codex":0.000011593709,"about_ca_system_score_gemma":0.000025920102,"threshold_uncertainty_score":0.5423048},"labels":[],"label_agreement":null},{"id":"W1697689342","doi":"","title":"A generic approach to spatial individual-based modelling and simulation of plant communities","year":2014,"lang":"en","type":"article","venue":"Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Weighting; Computer science; Mathematical optimization; Software; Subdivision; Resource (disambiguation); Theoretical computer science; Mathematics; Engineering","score_opus":0.023419879072454346,"score_gpt":0.23596536991723294,"score_spread":0.21254549084477858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1697689342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7042778,0.000028293864,0.29409426,0.00016362086,0.0000134539305,0.00012462398,0.000009371074,0.00001432711,0.0012742355],"genre_scores_gemma":[0.95794815,8.18883e-7,0.041669413,0.00029438466,0.000013327979,0.000011221083,0.000026295895,0.0000041872377,0.000032191874],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894816,0.00007906105,0.0002376613,0.0002005616,0.0003668446,0.00016773332],"domain_scores_gemma":[0.99893826,0.0008121221,0.00009130698,0.000070858114,0.000017174192,0.000070247894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004435043,0.00012083026,0.00017809235,0.00006820662,0.00042947193,0.000045458648,0.00017461197,0.000048924318,0.00002547925],"category_scores_gemma":[0.000050502316,0.000093114984,0.000027456992,0.00019022606,0.0007661362,0.00008917433,0.00018023244,0.00010693472,0.0000064006404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010510652,0.00005256342,0.0054600756,0.000033917233,0.0000069974444,1.1033299e-7,0.0011189969,0.9826442,0.0000039118436,0.009969192,0.000015924516,0.00068357104],"study_design_scores_gemma":[0.00017369955,0.00007982038,0.01753318,0.000021516029,0.000013228569,0.0000047460444,0.00031921634,0.934998,0.00000474087,0.0466902,0.000052380183,0.0001092736],"about_ca_topic_score_codex":0.000039332444,"about_ca_topic_score_gemma":0.000018095565,"teacher_disagreement_score":0.25367036,"about_ca_system_score_codex":0.000012088492,"about_ca_system_score_gemma":0.000008834633,"threshold_uncertainty_score":0.3797119},"labels":[],"label_agreement":null},{"id":"W1801151044","doi":"","title":"The development and implementation of forest and wildland fire management decision support systems: reflections on past practices and emerging needs and challenges","year":2011,"lang":"en","type":"article","venue":"Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental resource management; Business; Decision support system; Forest management; Environmental planning; Geography; Forestry; Computer science; Environmental science","score_opus":0.032704030970389104,"score_gpt":0.29291777575968236,"score_spread":0.26021374478929327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1801151044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967582,0.0009879887,0.00021801457,0.0005262469,0.000046950187,0.00039450507,0.0000025640188,0.000015627471,0.0010498964],"genre_scores_gemma":[0.9943211,0.0002138259,0.00531939,0.000032180185,0.000015612843,0.000032590866,0.0000025111956,0.0000066761454,0.000056131656],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99858004,0.000066613225,0.00034127934,0.00033672576,0.00046575512,0.00020958668],"domain_scores_gemma":[0.99881583,0.00073225604,0.00024764412,0.00008534508,0.0000143296,0.000104616876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085199176,0.00016134702,0.00016729481,0.00007634293,0.00070014247,0.00014588867,0.000117822725,0.000041453543,0.000012274036],"category_scores_gemma":[0.000045938887,0.000103120496,0.000013869644,0.00017476462,0.00052355655,0.00026021514,0.00024246778,0.00009204317,0.0000030643366],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024551273,0.00029922347,0.22736645,0.0019019212,0.0002296211,0.000022472774,0.03541872,0.0034899814,0.000059099442,0.104159914,0.00044365437,0.62636346],"study_design_scores_gemma":[0.00093815284,0.0006700827,0.8198887,0.00043189168,0.00007413929,0.00031856037,0.028967118,0.12187394,0.000025666328,0.022070885,0.0043154433,0.00042539946],"about_ca_topic_score_codex":0.000060446928,"about_ca_topic_score_gemma":0.0001349336,"teacher_disagreement_score":0.62593806,"about_ca_system_score_codex":0.00002221149,"about_ca_system_score_gemma":0.000008876297,"threshold_uncertainty_score":0.5385001},"labels":[],"label_agreement":null},{"id":"W2119621443","doi":"","title":"Evaluation of alternative methods for using LiDAR to predict aboveground biomass in mixed species and structurally complex forests in northeastern North America","year":2015,"lang":"en","type":"article","venue":"Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Lidar; Ranging; Remote sensing; Range (aeronautics); Environmental science; Calibration; Random forest; Extraction (chemistry); Computer science; Statistics; Mathematics; Geography; Machine learning","score_opus":0.07148618717450618,"score_gpt":0.3548986956995437,"score_spread":0.2834125085250375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119621443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9499454,0.000049535676,0.048661716,0.00030975134,0.000028360882,0.00057436945,0.000017378494,0.000009569564,0.00040392467],"genre_scores_gemma":[0.8438964,3.6524145e-7,0.1559955,0.00004229407,0.000019553558,0.000008857544,0.00001553135,0.0000061191677,0.000015386333],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980323,0.00018751662,0.00039083394,0.00038777947,0.00076374237,0.0002378563],"domain_scores_gemma":[0.999056,0.00047392398,0.00014490132,0.00010343199,0.00008469641,0.00013703562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001207596,0.00015623646,0.00025075718,0.00014245055,0.00012576146,0.00007427904,0.00020784812,0.00003904539,0.000014641841],"category_scores_gemma":[0.0003147078,0.00012241634,0.000034263896,0.00062727137,0.00066279987,0.00016267541,0.00015881598,0.00009033373,0.0000027053175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011211404,0.0001951682,0.08137977,0.0000856906,0.000034645658,0.000002141374,0.0068727853,0.7612523,0.0017172289,0.0047412827,0.00004626622,0.14356063],"study_design_scores_gemma":[0.00034749424,0.0000715524,0.2781239,0.000030486031,0.000014352272,0.000012238259,0.0004789559,0.6526215,0.00003707758,0.068084024,0.00007851301,0.0000999341],"about_ca_topic_score_codex":0.00028394407,"about_ca_topic_score_gemma":0.00058053614,"teacher_disagreement_score":0.19674413,"about_ca_system_score_codex":0.0001149994,"about_ca_system_score_gemma":0.000053219585,"threshold_uncertainty_score":0.49919936},"labels":[],"label_agreement":null},{"id":"W3005037815","doi":"","title":"An Integrated System for Estimating Forest Basal Area from Spherical Images","year":2020,"lang":"en","type":"article","venue":"Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Basal area; Forest inventory; Visibility; Sample (material); Understory; Software; Computer science; Sampling (signal processing); Geography; Forestry; Environmental science; Remote sensing; Mathematics; Computer vision; Canopy; Forest management; Filter (signal processing); Archaeology","score_opus":0.01527244019814721,"score_gpt":0.24779566776928702,"score_spread":0.2325232275711398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005037815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5296588,0.000028553914,0.46644098,0.0018734136,0.000048934842,0.00032397622,0.000045515466,0.00015416247,0.0014256994],"genre_scores_gemma":[0.66602093,1.4230365e-7,0.3334167,0.0003444516,0.00009727725,0.0000088830475,0.00006342209,0.000010953811,0.000037253976],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99813294,0.000058156773,0.00036569434,0.00060389907,0.000524045,0.00031526794],"domain_scores_gemma":[0.9987696,0.00064063177,0.00012640186,0.00014019903,0.000029446679,0.0002937395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000240075,0.00022119426,0.00026103997,0.00002213508,0.00058225985,0.0002720873,0.0003946833,0.00007618516,0.00011243457],"category_scores_gemma":[0.00018670836,0.00016269494,0.00008104266,0.00039314383,0.00070787576,0.00022844414,0.0001249338,0.00019483024,0.000079274694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013214863,0.00028577715,0.005336145,0.00019320627,0.00005458995,0.000016503665,0.0022624405,0.9133489,0.0034342168,0.018342692,0.0062991013,0.050294273],"study_design_scores_gemma":[0.00023995705,0.000110609486,0.003019109,0.00005412436,0.000022027873,0.000017920209,0.00086053595,0.96393573,0.00013264103,0.030783234,0.00061223697,0.00021186199],"about_ca_topic_score_codex":0.000082481165,"about_ca_topic_score_gemma":0.0000056036097,"teacher_disagreement_score":0.13636212,"about_ca_system_score_codex":0.000048641123,"about_ca_system_score_gemma":0.000028216567,"threshold_uncertainty_score":0.6634507},"labels":[],"label_agreement":null},{"id":"W3162053645","doi":"","title":"ESTIMATING INDIVIDUAL TREE HEIGHTS AND DBHS FROM VERTICALLY DISPLACED SPHERICAL IMAGE PAIRS","year":2021,"lang":"en","type":"article","venue":"Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Image stitching; Diameter at breast height; Tree (set theory); Workload; Forest inventory; Remote sensing; Tree canopy; Pairwise comparison; Computer science; Mathematics; Computer vision; Artificial intelligence; Geography; Canopy; Forestry; Forest management; Archaeology","score_opus":0.009263822210145937,"score_gpt":0.23656941361660846,"score_spread":0.22730559140646253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162053645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9681311,0.000119809105,0.024046848,0.0022154388,0.000044067754,0.00012930001,0.000014193281,0.00006350303,0.0052356985],"genre_scores_gemma":[0.7332617,9.74225e-7,0.26607084,0.00031782585,0.000058212798,0.0000031892512,0.0000354308,0.000008993477,0.00024281381],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979198,0.00008535912,0.00033154432,0.0006000779,0.0007376299,0.0003256101],"domain_scores_gemma":[0.99865127,0.0008554818,0.00007906073,0.00015773537,0.000022187083,0.00023425456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025551088,0.00020428485,0.0002343196,0.000023392786,0.000604939,0.00032934954,0.00023412817,0.00007967933,0.00034952158],"category_scores_gemma":[0.00023841043,0.00015500418,0.00006198309,0.00037558886,0.0012471725,0.00020328406,0.00035454612,0.00024152493,0.00010251474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028394186,0.0028570956,0.048422627,0.00048052138,0.00054521486,0.0005661477,0.01635977,0.13885397,0.030224634,0.16322637,0.02119895,0.57698077],"study_design_scores_gemma":[0.00033872874,0.000044659708,0.06399238,0.000061563675,0.000040734958,0.00012501384,0.00034378024,0.7300996,0.00022642073,0.20393142,0.0005200243,0.00027567762],"about_ca_topic_score_codex":0.000037147533,"about_ca_topic_score_gemma":0.000013685034,"teacher_disagreement_score":0.59124565,"about_ca_system_score_codex":0.000028633167,"about_ca_system_score_gemma":0.000033850014,"threshold_uncertainty_score":0.6320887},"labels":[],"label_agreement":null},{"id":"W3162537160","doi":"","title":"CORRECTING TREE COUNT BIAS FOR OBJECTS SEGMENTED FROM LIDAR POINT CLOUDS","year":2021,"lang":"en","type":"article","venue":"Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Weyerhauser (Canada)","funders":"","keywords":"Poisson distribution; Tree (set theory); Lidar; Point cloud; Segmentation; Probability distribution; Mathematics; Population; Statistics; Computer science; Artificial intelligence; Remote sensing; Geography; Combinatorics","score_opus":0.018527523538301182,"score_gpt":0.2532814566596109,"score_spread":0.2347539331213097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162537160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97041494,0.00014468354,0.02139433,0.0016893611,0.00012565675,0.00028138308,0.000029044526,0.00008077205,0.005839815],"genre_scores_gemma":[0.94332236,0.0000016634059,0.0550655,0.00062149705,0.000101280304,0.000009772675,0.00007488782,0.000013042897,0.00078996626],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979958,0.00006699845,0.0003612425,0.000593613,0.0006332351,0.00034911768],"domain_scores_gemma":[0.9982082,0.0012718515,0.00013498022,0.00017901952,0.000046076824,0.00015982633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040195973,0.00020385568,0.00024102938,0.000036116624,0.00070965337,0.00023772227,0.00024175674,0.000078333556,0.0002433361],"category_scores_gemma":[0.00033080342,0.00016225761,0.000109446366,0.00046979613,0.00054635486,0.00013878835,0.00019815032,0.00018990929,0.0001000666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040933894,0.002792954,0.029652089,0.000534163,0.00051083096,0.00015697541,0.023833072,0.27136683,0.026904507,0.10381762,0.032340247,0.50768137],"study_design_scores_gemma":[0.0006809083,0.000103227365,0.015866544,0.00013937715,0.000054193923,0.00023094434,0.0024758212,0.7311979,0.002244632,0.24344759,0.0031059645,0.00045291157],"about_ca_topic_score_codex":0.00007115344,"about_ca_topic_score_gemma":0.00003908425,"teacher_disagreement_score":0.5072285,"about_ca_system_score_codex":0.00006926931,"about_ca_system_score_gemma":0.000056668458,"threshold_uncertainty_score":0.66166735},"labels":[],"label_agreement":null}]}