{"id":"W3122914906","doi":"","title":"A Compendium and Analysis of the Research Conducted by CATPRN","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compendium; Download; Agriculture; Regional science; International trade; Agricultural economics; Economics; Business; Library science; Computer science; Geography; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002143665,0.000229436,0.0006390832,0.0001603744,0.0003031766,0.0001374957,0.001141139,0.0004072506,0.0002602354],"category_scores_gemma":[0.0002550404,0.00007705788,0.0002644735,0.000645122,0.0008053877,0.00006151503,0.002074391,0.001154157,0.000005000566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003281349,"about_ca_system_score_gemma":0.00009837887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001869893,"about_ca_topic_score_gemma":0.004967014,"domain_scores_codex":[0.9970014,0.0006403693,0.0005813722,0.0007772529,0.000263238,0.0007363663],"domain_scores_gemma":[0.9975551,0.001461613,0.0002387657,0.0003399071,0.0002148444,0.0001897084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002756339,0.0005912672,0.265763,0.0001763973,0.002591372,0.000008268825,0.001201418,0.0003134994,0.1794835,0.006948156,0.006480744,0.5361667],"study_design_scores_gemma":[0.0004204272,0.0002057378,0.8815496,0.0001877116,0.0001021367,0.00000466352,0.001226226,0.001495552,0.002317561,0.00499086,0.1068006,0.0006989139],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768021,0.0002005264,1.746163e-8,0.003887931,0.0001055057,0.0005415335,0.001129576,0.00001060252,0.0173222],"genre_scores_gemma":[0.9929195,0.004254054,0.000007183019,0.00006115068,0.0001557944,0.00007449702,0.0001939121,0.000002934443,0.002330947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6157865,"threshold_uncertainty_score":0.50143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05939978985501158,"score_gpt":0.3212611698837446,"score_spread":0.261861380028733,"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."}}