{"id":"W2386003037","doi":"","title":"Crossing and Analysis of Canadian Yorkshire and Rongchang Pig","year":2000,"lang":"en","type":"article","venue":"","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lean meat; Crossbreed; Animal science; China; Geography; Biology; Archaeology","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":[0.0004498466,0.000399948,0.0004154466,0.002835532,0.001507421,0.0003258739,0.0004236992,0.0002385185,0.001770516],"category_scores_gemma":[0.0004769549,0.0002606572,0.0003561175,0.001914091,0.0005505127,0.0001192335,0.0003708821,0.0003361343,0.0003033532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002797158,"about_ca_system_score_gemma":0.001891515,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5486814,"about_ca_topic_score_gemma":0.7591107,"domain_scores_codex":[0.9994537,0.0000465537,0.00002295113,0.0001952918,0.0001539894,0.0001275452],"domain_scores_gemma":[0.9993621,0.0000876614,0.0001403741,0.00009068288,0.000184426,0.0001348695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001477178,0.0003037516,0.7009519,0.00009479075,0.0003490329,0.005805453,0.006545738,0.0003833888,0.2480315,0.0008718815,0.0007515809,0.03443382],"study_design_scores_gemma":[0.000006505769,0.000104097,0.9952983,0.000005056213,0.00003316482,0.0006611246,0.0002992222,0.000143649,0.001796616,0.000008356839,0.001630652,0.00001310656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980803,0.00009944771,0.0002025339,0.000007377141,0.000003178702,0.00001807792,0.0003636504,0.000007335469,0.001218148],"genre_scores_gemma":[0.9898496,0.0003072887,0.001229175,0.00004044177,0.000004773336,0.00004686847,0.003062719,0.00002481238,0.005434451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4513186,"threshold_uncertainty_score":0.9079529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00961141553097682,"score_gpt":0.2205192819852292,"score_spread":0.2109078664542523,"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."}}