{"id":"W30896070","doi":"10.1111/dar.12921","title":"Социально-экономическая оценка эффективности аграрного труда","year":2010,"lang":"en","type":"article","venue":"Российское предпринимательство","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Drug Abuse; National Institutes of Health; Michael Smith Health Research BC","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003837769,0.0006694729,0.0009070209,0.0003774597,0.0002878761,0.00008745646,0.0004156973,0.0004544892,0.004176667],"category_scores_gemma":[0.0002766006,0.0005446974,0.0005323612,0.0006896557,0.0002914482,0.000362057,0.0001113349,0.001057401,0.003691102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001233178,"about_ca_system_score_gemma":0.0002661369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005245262,"about_ca_topic_score_gemma":0.0004676404,"domain_scores_codex":[0.9964598,0.0000517985,0.0007164104,0.0008725733,0.0008089439,0.001090405],"domain_scores_gemma":[0.9971713,0.0002089806,0.0002122895,0.001495098,0.0002408365,0.0006715385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009781703,0.001657669,0.7614168,0.0001239593,0.0008436392,0.001495006,0.002436328,0.000005029783,0.08514684,0.01698237,0.09219704,0.03671717],"study_design_scores_gemma":[0.01992369,0.001060945,0.475742,0.0002566355,0.001357861,0.001473653,0.001369673,0.0003277269,0.07889963,0.003699011,0.4135111,0.002378064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9329834,0.0007128751,0.00008383125,0.003084708,0.002208194,0.0008597918,0.00001111127,0.0008638298,0.05919229],"genre_scores_gemma":[0.9696047,0.0001861081,0.003927359,0.002416326,0.001348833,0.0001093828,0.000128851,0.0001519811,0.02212651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3213141,"threshold_uncertainty_score":0.9997004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01518286541092345,"score_gpt":0.2840520424414267,"score_spread":0.2688691770305032,"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."}}