{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012298,0.000223308,0.0002772207,0.001378708,0.001183351,0.002571987,0.0003775899,0.0006853438,0.01937316],"category_scores_gemma":[0.003092297,0.0003801383,0.0003912434,0.001033081,0.001167312,0.000766528,0.0009547799,0.001417585,0.00506428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00107924,"about_ca_system_score_gemma":0.002872798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005286712,"about_ca_topic_score_gemma":0.01042941,"domain_scores_codex":[0.9987299,0.0002528173,0.00009958194,0.0001237434,0.0006475967,0.0001464272],"domain_scores_gemma":[0.9987769,0.0004088532,0.0002124594,0.0001158166,0.0003515863,0.0001344164],"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":[0.0003516626,0.0002548006,0.007507609,0.0007954643,0.0000590145,0.002691812,0.003357844,0.001127334,0.03717166,0.2367076,0.02240942,0.6875658],"study_design_scores_gemma":[0.0001338662,0.0003099966,0.01081701,0.0003434593,0.0000740625,0.0046345,0.002195842,0.001155719,0.02599388,0.06196468,0.8922269,0.0001502263],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1838386,0.04170785,0.1067275,0.02360019,0.004239525,0.0007146443,0.002007018,0.0007831287,0.6363815],"genre_scores_gemma":[0.8346934,0.01499915,0.07394523,0.000849986,0.0006001287,0.0005147354,0.0004881245,0.0001853344,0.07372389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01937316,"threshold_uncertainty_score":0.06480962,"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."}}