{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":7,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":7,"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","author_layer_release":"2026-06-26"},"query_hash":"062ab90168bf","filters":{"venue":"Theoretical and Practical Research in Economic Fields"}},"results":[{"id":"W4312946690","doi":"10.14505/tpref.v5.2(10).01","title":"ANALYZING THE DYNAMICS OF GROSS DOMESTIC PRODUCT GROWTH. A MIXED FREQUENCY MODEL APPROACH","year":2014,"lang":"en","type":"article","venue":"Theoretical and Practical Research in Economic Fields","topic":"Monetary Policy and Economic Impact","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":"Econometrics; State-space representation; Gross domestic product; Economics; Index (typography); Consumer price index (South Africa); Kalman filter; Exchange rate; Econometric model; Economic indicator; Real gross domestic product; Stock market index; Time series; Quarter (Canadian coin); Stock market; Statistics; Mathematics; Macroeconomics; Computer science; Monetary policy; Geography","authors":[{"name":"Ray John Gabriel Franco","is_ca":false},{"name":"Dennis S. Mapa","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1133200743580801,"gpt":0.3413735793360805,"spread":0.2280535049780004,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007253131,0.0001727633,0.0005188407,0.0002605801,0.0001471836,0.0001056092,0.0003237358,0.0001842998,0.0002831878],"category_scores_gemma":[0.002635499,0.0001434808,0.00009353491,0.0001599244,0.001312251,0.0003089767,0.0002005509,0.0009399084,0.0001151961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001428366,"about_ca_system_score_gemma":0.000056575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006697896,"about_ca_topic_score_gemma":0.00005095994,"domain_scores_codex":[0.9976901,0.0002614272,0.0007951623,0.0005431267,0.00005073121,0.0006594483],"domain_scores_gemma":[0.9965511,0.002561562,0.000157102,0.0005187105,0.00002063626,0.0001908942],"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":[0.00008226264,0.00008419823,0.005185724,0.00006364453,0.0000301271,0.000001546534,0.000183097,0.001574197,0.000001860602,0.9917519,0.0001853026,0.0008561093],"study_design_scores_gemma":[0.0002048103,0.00007682769,0.0008787349,0.000006958592,0.000003352192,0.00001362091,0.00003251941,0.4719208,0.000009486888,0.5267206,0.00003654346,0.00009570191],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.787154,0.0003866788,0.05444172,0.02903684,0.0001674911,0.0004775517,0.00009147999,0.00001880615,0.1282255],"genre_scores_gemma":[0.9967334,0.0004071202,0.002391998,0.0001496002,0.0001350272,0.0000350413,0.000009820179,0.00001937899,0.0001186233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4703467,"threshold_uncertainty_score":0.5850976,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312058786","doi":"10.14505/tpref.v13.2(26).08","title":"GENERALIZED FISHER HYPOTHESIS VALIDITY FOR CANADA, UK, AND SUISSE STOCK MARKETS: EVIDENCE FROM PANEL ARDL MODELS","year":2022,"lang":"en","type":"article","venue":"Theoretical and Practical Research in Economic Fields","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Stock market; Stock (firearms); Portfolio; Univariate; Financial economics; Financial crisis; Econometrics; Monetary economics; Hedge; Multivariate statistics; Macroeconomics","authors":[{"name":"Malika Neifar","is_ca":false},{"name":"Fatma HACHICHA","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2673907189748602,"gpt":0.3479309628719471,"spread":0.08054024389708697,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005944514,0.0001509676,0.0004407544,0.0001083294,0.0002283671,0.0001278045,0.0002128455,0.0001321707,0.0080357],"category_scores_gemma":[0.001807017,0.0001640752,0.00005872342,0.00008262466,0.000273301,0.000207381,0.0004298993,0.0007371834,0.000004995537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003214796,"about_ca_system_score_gemma":0.0002169058,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1040409,"about_ca_topic_score_gemma":0.02468341,"domain_scores_codex":[0.9977497,0.0004073406,0.0005437388,0.0006747048,0.0001004904,0.0005239862],"domain_scores_gemma":[0.9889538,0.01031022,0.00009333485,0.0003671397,0.00002613948,0.0002493822],"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":[0.001681244,0.00007909766,0.06290537,0.0000548378,0.00004594061,0.00001729088,0.0001162169,0.0000645596,0.000003326531,0.9285125,0.004337917,0.00218168],"study_design_scores_gemma":[0.0003824822,0.00010469,0.007090596,0.000008174196,0.000003500204,0.00000423856,0.00005075088,0.3518009,0.000003219579,0.6370616,0.003345243,0.0001446567],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725606,0.0005185996,0.0009351024,0.01612606,0.0001788203,0.0005253316,0.0006619911,0.000007301793,0.008486114],"genre_scores_gemma":[0.9969096,0.0007072793,0.001169355,0.0004273849,0.00006642626,0.0001971875,0.00001253134,0.00001802821,0.0004922113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3517363,"threshold_uncertainty_score":0.9931136,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312536974","doi":"10.14505/tpref.v10.1(19).06","title":"UNDERSTANDING CONSUMER PRICE INDEX DYNAMICS IN CANADA","year":2019,"lang":"en","type":"article","venue":"Theoretical and Practical Research in Economic Fields","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Autoregressive integrated moving average; Inflation (cosmology); Consumer price index (South Africa); Economics; Index (typography); Econometrics; Time series; Order (exchange); Box–Jenkins; Price index; Monetary policy; Series (stratigraphy); Macroeconomics; Statistics; Computer science; Finance; Mathematics","authors":[{"name":"Thabani Nyoni","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1035694170866601,"gpt":0.3256727986999516,"spread":0.2221033816132915,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003611452,0.0001184528,0.000359593,0.0002203354,0.00004608157,0.00008006492,0.0001436861,0.0001758362,0.003335404],"category_scores_gemma":[0.0005608375,0.0001284021,0.00002828869,0.0001702835,0.0002754945,0.0001867691,0.000185176,0.001071625,0.00009214467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002686055,"about_ca_system_score_gemma":0.0004606037,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2949089,"about_ca_topic_score_gemma":0.5801945,"domain_scores_codex":[0.9981936,0.0001426752,0.0005458475,0.0004586335,0.00006998613,0.0005892956],"domain_scores_gemma":[0.996693,0.002766887,0.00006710942,0.0002849111,0.00001238654,0.0001757253],"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":[0.00008857861,0.0000196993,0.3948885,0.00002224488,0.000005731722,0.00001235228,0.00001740035,0.00001296397,8.477458e-8,0.6047697,0.00005704025,0.0001057136],"study_design_scores_gemma":[0.0003419976,0.00003205316,0.01479226,0.00001318124,3.985474e-7,0.000004308509,0.0002325499,0.4422295,4.807212e-7,0.5416557,0.0005897644,0.0001078683],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7432978,0.00006679571,0.001433381,0.007817497,0.0001941153,0.0002666396,0.00004099978,0.000004449363,0.2468783],"genre_scores_gemma":[0.99923,0.0002972872,0.00006388625,0.0002069887,0.00001947043,0.00001180128,0.00000481618,0.00001215086,0.0001535583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4422165,"threshold_uncertainty_score":0.9975757,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3125280489","doi":"10.14505/tpref.v8.2(16).02","title":"ON THE “SCIENTIFICITY” OF MICROECONOMICS: INDIVIDUAL DEMAND, AND EXCHANGE-VALUE DETERMINATION","year":2017,"lang":"en","type":"article","venue":"Theoretical and Practical Research in Economic Fields","topic":"Economic Theory and Institutions","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Economics; Value (mathematics); Preference; Microeconomics; Mathematical economics; Set (abstract data type); Function (biology); Revealed preference; Demand curve; Expected utility hypothesis; Process (computing); Computer science","authors":[{"name":"C-René Dominique","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1211482516268616,"gpt":0.3748981128324341,"spread":0.2537498612055725,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006723768,0.0001111826,0.000285187,0.00019578,0.0005089964,0.0003117288,0.0003220307,0.0001694075,0.001043915],"category_scores_gemma":[0.002016925,0.00009698401,0.00004642114,0.0000292826,0.002769894,0.0003725917,0.0003467112,0.0005500356,0.0001851722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005658075,"about_ca_system_score_gemma":0.00004161016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001465124,"about_ca_topic_score_gemma":0.00007562343,"domain_scores_codex":[0.9986039,0.0001510281,0.0004784262,0.0004037063,0.00003330285,0.0003296569],"domain_scores_gemma":[0.9965271,0.002640566,0.0001947518,0.0005087543,0.00001580146,0.0001129992],"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":[0.00008720101,0.00005092242,0.001508963,0.0000206716,0.00001433124,0.000003168235,0.000205207,0.00000704025,0.000006654935,0.9952878,0.0002528439,0.002555174],"study_design_scores_gemma":[0.0003826053,0.0001581174,0.004129597,0.00002895506,0.00000358048,0.00001221273,0.0001127809,0.007843461,0.0003388766,0.9839436,0.002928563,0.0001176775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8870749,0.0001578005,0.0005816922,0.01852491,0.0002264397,0.0002560214,0.00009953444,0.000004798709,0.09307391],"genre_scores_gemma":[0.9987376,0.0005455132,0.0001669903,0.0002540168,0.00006986423,0.0000277194,0.000002526288,0.000008487943,0.0001873326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1116627,"threshold_uncertainty_score":0.999944,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7117418925","doi":"10.14505/tpref.v16.4(36).02","title":"Navigating Tariffs through Trade Diplomacy: Strategies and Lessons from Select Countries","year":2025,"lang":"","type":"article","venue":"Theoretical and Practical Research in Economic Fields","topic":"Balkan and Eastern European Studies","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":"Protectionism; Diplomacy; Tariff; Economic diplomacy; Diversification (marketing strategy); Trade barrier; Resilience (materials science); Free trade; Commercial policy","authors":[{"name":"Gary Ador Dionisio","is_ca":false},{"name":"Jovito Jose Katigbak","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09492279048118454,"gpt":0.4101055164166306,"spread":0.3151827259354461,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003123356,0.0003838697,0.0009649826,0.0001350698,0.0005342386,0.001361278,0.0002749914,0.0004668893,0.0009526812],"category_scores_gemma":[0.000979724,0.0004081619,0.00009327994,0.0002525401,0.003887201,0.001015492,0.0007943374,0.003032821,0.0002392989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001670265,"about_ca_system_score_gemma":0.0002681997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001382015,"about_ca_topic_score_gemma":0.0002234469,"domain_scores_codex":[0.9959566,0.0005077054,0.001136893,0.001187436,0.0001008243,0.001110553],"domain_scores_gemma":[0.992512,0.00663194,0.0001582735,0.0004350705,0.00003099812,0.0002317226],"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":[0.0004372803,0.0001185486,0.006787603,0.000162266,0.0001955482,0.00005342262,0.002128833,0.000007090115,0.000002597945,0.9820841,0.0004528734,0.007569842],"study_design_scores_gemma":[0.001137489,0.0002967035,0.01249422,0.000404232,0.00002949546,0.00001064968,0.003310014,0.006658648,0.00004275011,0.9497175,0.02548683,0.0004114954],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6335512,0.02663423,0.001870207,0.1387834,0.0005623317,0.0005614507,0.0003431252,0.0000371818,0.1976569],"genre_scores_gemma":[0.9647612,0.03329701,0.0004318052,0.001053045,0.0002325302,0.00002683406,0.000008974036,0.00003111667,0.0001575002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.33121,"threshold_uncertainty_score":0.9999606,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3125056461","doi":"10.14505/tpref.v9.2(18).02","title":"THE ROLES OF THE PUBLIC SECTOR AND THE PRIVATE SECTOR IN THE ECONOMY OF NORTH CYPRUS: EMPIRICAL EVIDENCE FROM MARKOV SWITCHING","year":2018,"lang":"en","type":"article","venue":"Theoretical and Practical Research in Economic Fields","topic":"Fiscal Policy and Economic Growth","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":"Markov chain; Private sector; Recession; Quarter (Canadian coin); Public sector; Markov model; Economics; Empirical evidence; Path (computing); Econometrics; Economy; Macroeconomics; Economic growth; Geography; Statistics; Mathematics; Computer science","authors":[{"name":"Turgut Türsoy","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1264965495008839,"gpt":0.349835745753513,"spread":0.2233391962526291,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007250147,0.0001558165,0.0004351019,0.0001116895,0.0002860675,0.0002155307,0.0007604482,0.0001565535,0.0001838128],"category_scores_gemma":[0.002864058,0.00008042409,0.00009860405,0.0002028241,0.003809496,0.0003430924,0.0005544376,0.001055236,0.00003168649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005655895,"about_ca_system_score_gemma":0.00008932498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002908492,"about_ca_topic_score_gemma":0.00116858,"domain_scores_codex":[0.9973323,0.0007680551,0.0008956556,0.000411478,0.00006963911,0.0005228764],"domain_scores_gemma":[0.982899,0.01611117,0.0002380576,0.0006323722,0.00002269273,0.00009671398],"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":[0.0004483318,0.0000388054,0.09264094,0.00001936857,0.00003292043,0.000001045224,0.001222054,0.000001075675,0.000001565081,0.9037212,0.0002373522,0.001635367],"study_design_scores_gemma":[0.0006328885,0.0001284698,0.1044383,0.00003849631,0.000005542763,0.000007639897,0.0002812406,0.01019818,0.00005399617,0.880797,0.0033128,0.0001054547],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8702001,0.0005837486,0.00008292688,0.1105734,0.0001176199,0.0003908369,0.00002820555,0.000003248009,0.01801998],"genre_scores_gemma":[0.9979206,0.0006217568,0.00005210357,0.001083597,0.0002489745,0.00004657177,7.829462e-7,0.00001175735,0.00001389102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1277205,"threshold_uncertainty_score":0.9989015,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7117416810","doi":"10.14505/tpref.v16.4(36).ed","title":"Editorial. Trump’s Tariff War: Impacts and Implications for World Trade and the Global Economy","year":2025,"lang":"","type":"article","venue":"Theoretical and Practical Research in Economic Fields","topic":"Global Political and Economic Relations","field":"Social Sciences","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":"Tariff; Balance of trade; World economy; Trade war; World trade; China; Factory (object-oriented programming); Commercial policy; Quarter (Canadian coin)","authors":[{"name":"Badar Alam Iqbal","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04642174666296349,"gpt":0.4288725280597827,"spread":0.3824507813968192,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006641489,0.0002366307,0.0005365977,0.0001342661,0.001085723,0.0006252462,0.0002657588,0.0005231628,0.0002472113],"category_scores_gemma":[0.003954231,0.000183057,0.0001091326,0.0002638019,0.009851503,0.0004667762,0.0003996044,0.001151375,0.000023866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003836456,"about_ca_system_score_gemma":0.0008101751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001134363,"about_ca_topic_score_gemma":0.001413436,"domain_scores_codex":[0.9963779,0.0009736739,0.000728537,0.0006806265,0.0001060334,0.001133222],"domain_scores_gemma":[0.9779418,0.02095294,0.00007745982,0.0003088996,0.00005674546,0.0006621509],"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":[0.0006731491,0.00006905605,0.001367313,0.0000627171,0.00006775519,4.504464e-7,0.000351215,0.000003468505,1.939976e-7,0.9578295,0.03553138,0.004043833],"study_design_scores_gemma":[0.001669345,0.0001081781,0.002303282,0.00004720203,0.00005518127,0.000004551297,0.0007724719,0.003106077,0.000001141276,0.8047096,0.1870717,0.0001512747],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01474437,0.001245523,0.0002554834,0.6899564,0.003732157,0.001402964,0.0001354587,0.00001421323,0.2885135],"genre_scores_gemma":[0.9873538,0.005193311,0.0001197619,0.001841648,0.005018123,0.0001305441,0.000004399834,0.000008323996,0.0003301087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9726094,"threshold_uncertainty_score":0.9928431,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}