{"id":"W3110208662","doi":"10.37925/0039-713x-2020-7-8-10","title":"BIOLOGICAL AND NUTRITIONAL VALUE OF DOMESTIC PORK, CANADIAN AND FRENCH SELECTION","year":2020,"lang":"en","type":"article","venue":"PIG-BREEDING","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Value (mathematics); Biology; Statistics; Mathematics; Computer science; Artificial intelligence","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":[0.0006416105,0.0003308087,0.0003497532,0.001136711,0.001012888,0.0007390502,0.0003504302,0.0002647354,0.001302293],"category_scores_gemma":[0.0008070155,0.0001259401,0.0002013375,0.001287448,0.0006648746,0.0001835732,0.0002942036,0.0002103762,0.00009702562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004667676,"about_ca_system_score_gemma":0.001846139,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4881605,"about_ca_topic_score_gemma":0.7043,"domain_scores_codex":[0.9996719,0.00006701578,0.00001073523,0.00007738764,0.00009440344,0.00007852232],"domain_scores_gemma":[0.999422,0.0001001849,0.00007606043,0.00003180137,0.0002025709,0.0001674904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01218241,0.0003283395,0.6452165,0.0002208722,0.001199774,0.001373293,0.003445186,0.00198774,0.2687519,0.002524495,0.001663315,0.06110621],"study_design_scores_gemma":[0.0000166667,0.0001358089,0.9960069,0.000008194025,0.00009375034,0.000208553,0.0003195408,0.0002125165,0.001782399,0.00005227187,0.001152177,0.00001125534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983746,0.0004201938,0.00005042516,0.00003204276,0.000003000648,0.000001454435,0.0001764865,0.000003401036,0.0009383203],"genre_scores_gemma":[0.9977021,0.0002066858,0.0001400193,0.00002239474,0.000002967043,0.000002330781,0.0002724465,0.000007920607,0.001643199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5118395,"threshold_uncertainty_score":0.9706381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02026794432232137,"score_gpt":0.2321330723285872,"score_spread":0.2118651280062658,"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."}}