{"id":"W25272614","doi":"10.1177/0306312714523514","title":"Уровнень занятости и безработица в сельском хозяйстве","year":2009,"lang":"en","type":"article","venue":"Herald of the Kursk State Agricultural Academy","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Computer 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":[0.005252515,0.0005158871,0.0003505198,0.002419092,0.0038194,0.009057605,0.0007591824,0.001280899,0.03472352],"category_scores_gemma":[0.01039384,0.0007152075,0.0004814032,0.002487441,0.005826657,0.00371815,0.002605666,0.003524917,0.009973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003488002,"about_ca_system_score_gemma":0.007239461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01131167,"about_ca_topic_score_gemma":0.01406346,"domain_scores_codex":[0.9944463,0.001943367,0.0005111226,0.0006651289,0.002005824,0.0004281796],"domain_scores_gemma":[0.9950088,0.002119507,0.0005113186,0.0007395917,0.00136588,0.0002548984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005628304,0.00002239729,0.001091084,0.0002369498,0.00001356024,0.0006165284,0.009023249,0.0003483816,0.001411082,0.8692369,0.01462801,0.1033155],"study_design_scores_gemma":[0.00001557932,0.0000325604,0.002114101,0.0003303964,0.0000176941,0.0009198803,0.004720775,0.0003293907,0.001563495,0.1626916,0.8272134,0.0000511109],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02728165,0.02231539,0.08979852,0.01479743,0.003736815,0.0004456084,0.001074079,0.0005197584,0.8400309],"genre_scores_gemma":[0.6727673,0.02284453,0.1139427,0.001502643,0.001340547,0.0009979776,0.0006841426,0.0006816236,0.1852385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03472352,"threshold_uncertainty_score":0.1161618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007672105584950668,"score_gpt":0.2338951419408589,"score_spread":0.2262230363559082,"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."}}