{"id":"W2993795130","doi":"","title":"РАЗВИТИЕ ЖИВОТНОВОДСТВА В ДОМАШНИХ ХОЗЯЙСТВАХ КЫРГЫЗСТАНА","year":2018,"lang":"ru","type":"article","venue":"JURNAL REFORMA","topic":"Economic and Industrial Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Agriculture; Quarter (Canadian coin); Animal husbandry; Agricultural economics; Population; Pace; Productivity; Business; Economic growth; Agricultural science; Economics; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0007414889,0.0001991024,0.0001915491,0.001238301,0.001268231,0.002658321,0.000203702,0.0002631156,0.007506626],"category_scores_gemma":[0.001579461,0.0002236674,0.0002271728,0.001863905,0.001482643,0.0009168696,0.0006897358,0.0008985166,0.002084428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00172374,"about_ca_system_score_gemma":0.002698076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01438751,"about_ca_topic_score_gemma":0.01978532,"domain_scores_codex":[0.9993699,0.0001356612,0.00004803345,0.0001002577,0.000244645,0.0001014692],"domain_scores_gemma":[0.999532,0.00008821695,0.0001296762,0.00006829188,0.0001344708,0.00004733031],"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":[0.0001624458,0.00006977629,0.0285658,0.000313836,0.00006569038,0.001081221,0.007761859,0.002585954,0.01178736,0.6198474,0.009128817,0.3186298],"study_design_scores_gemma":[0.00003729917,0.0001339856,0.08283931,0.0002475154,0.00007837118,0.001345494,0.005952879,0.00219166,0.01046682,0.1527799,0.7438329,0.00009385878],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5667048,0.01214168,0.0517518,0.005448826,0.0006068685,0.0002010804,0.002489945,0.0005209793,0.360134],"genre_scores_gemma":[0.9526301,0.003812814,0.02086062,0.00009143075,0.00009392884,0.00008262145,0.0003681719,0.00006498751,0.02199533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01438751,"threshold_uncertainty_score":0.02860755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05177358653323197,"score_gpt":0.2296777259128531,"score_spread":0.1779041393796211,"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."}}