{"id":"W4320154570","doi":"10.52269/22266070_2022_4_193","title":"USING CANADIAN VYTELLE (GROWSAFE) TECHNOLOGY FOR EVALUATION QAZAQ AQBAS BREED","year":2022,"lang":"ru","type":"article","venue":"3i intellect idea innovation - интеллект идея инновация","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Breed; Animal science; Biology","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":[0.001357752,0.0003876797,0.0002172882,0.002916313,0.00151788,0.001767057,0.0005449885,0.0005151641,0.03105672],"category_scores_gemma":[0.002272399,0.0001797188,0.0003043126,0.002208678,0.0004191076,0.0009764857,0.0009073897,0.0004109328,0.003127723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003835791,"about_ca_system_score_gemma":0.005687948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3797502,"about_ca_topic_score_gemma":0.5697482,"domain_scores_codex":[0.9988763,0.00009929552,0.00002888196,0.0001179195,0.0007738392,0.0001037123],"domain_scores_gemma":[0.9982932,0.0001764359,0.00004559352,0.00008294969,0.001301826,0.0001000525],"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":[0.001167319,0.0004293259,0.05770456,0.0008074658,0.0000819762,0.0007149494,0.006479232,0.009232949,0.1548919,0.04338274,0.08991689,0.6351908],"study_design_scores_gemma":[0.0002313439,0.0007068411,0.2786047,0.000434797,0.0002338413,0.0004873105,0.01576999,0.06190805,0.1432946,0.005649187,0.4922864,0.0003930859],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4551011,0.0005693234,0.05801398,0.0009767793,0.0003429063,0.001245374,0.01768769,0.0036665,0.4623964],"genre_scores_gemma":[0.756485,0.0003720826,0.08925562,0.0001419078,0.00001922138,0.0004712384,0.006363019,0.0003835275,0.1465084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3797502,"threshold_uncertainty_score":0.7550796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1010034286261776,"score_gpt":0.3661141277012222,"score_spread":0.2651106990750446,"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."}}