{"id":"W4394181536","doi":"10.6084/m9.figshare.23982603","title":"Agriculture Economics","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Agricultural science; Agricultural economics; Economics; Agricultural engineering; Environmental science; Geography; Engineering; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007193908,0.001046737,0.000864682,0.004232106,0.000807756,0.002138419,0.001658927,0.001392278,0.1053787],"category_scores_gemma":[0.006211383,0.000457348,0.0007883064,0.01102022,0.0002465216,0.0008609655,0.001160693,0.001354627,0.0979008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003209133,"about_ca_system_score_gemma":0.005117282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1435782,"about_ca_topic_score_gemma":0.2410732,"domain_scores_codex":[0.9991626,0.00009411781,0.00008169653,0.0002111891,0.0002962016,0.0001541714],"domain_scores_gemma":[0.9967558,0.000897573,0.0002592587,0.0004482358,0.001313776,0.000325254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003069827,0.00001663602,0.001225848,0.0003816668,0.00001353635,0.00001668089,0.00002051209,0.0001860817,0.0000498531,0.0008874133,0.9941109,0.003060153],"study_design_scores_gemma":[0.00006269656,0.000004472137,0.006123044,0.0001756227,0.000008775213,0.00002007586,0.0000571491,0.0001775592,0.00009078398,0.0005304327,0.9927396,0.000009830904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001455213,0.00005886286,0.0000250982,0.00004906151,0.00001030793,0.000005557296,0.9980718,0.00006631987,0.001567423],"genre_scores_gemma":[0.0004790284,0.00008194436,0.0001506205,0.0000417978,0.00000485492,0.00003427913,0.9974223,0.00003718676,0.001747857],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8946213,"threshold_uncertainty_score":0.3525268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04309781578899483,"score_gpt":0.2204306770780595,"score_spread":0.1773328612890646,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}