{"id":"W2599585594","doi":"","title":"Genetic selection for immunity : technology","year":2014,"lang":"en","type":"article","venue":"The dairy mail/The Dairy mail","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Herd; Selection (genetic algorithm); Pasture; Herd immunity; Business; Biotechnology; Operations management; Agricultural science; Economics; Biology; Computer science; Animal science; Ecology; Immunology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00279293,0.0004867727,0.000575419,0.0009002293,0.0005660038,0.001474532,0.001146218,0.001068371,0.006322142],"category_scores_gemma":[0.002525242,0.0003680424,0.000637935,0.0006661231,0.001638335,0.00126259,0.0009750164,0.00231455,0.00226247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009256168,"about_ca_system_score_gemma":0.0005731354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004085365,"about_ca_topic_score_gemma":0.0004985656,"domain_scores_codex":[0.9986841,0.0004304184,0.00005649192,0.0003157845,0.0003871675,0.0001260324],"domain_scores_gemma":[0.9990447,0.0004812046,0.0001011721,0.0001530775,0.0001364337,0.00008332147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005893618,0.0007460199,0.005485375,0.001074777,0.0001898256,0.0005292008,0.0004037011,0.00230019,0.3647996,0.0924996,0.02246656,0.5089159],"study_design_scores_gemma":[0.001239827,0.004784517,0.01778294,0.001270446,0.0005804463,0.003462612,0.0005311404,0.01177787,0.2979624,0.1452852,0.5149063,0.0004163168],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1827762,0.06423293,0.6080688,0.03362691,0.00441286,0.001479479,0.001841722,0.003029601,0.1005316],"genre_scores_gemma":[0.5385492,0.05909369,0.3340554,0.01211123,0.00199616,0.002359247,0.001708457,0.0005196401,0.04960692],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006322142,"threshold_uncertainty_score":0.02114969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008365605363871749,"score_gpt":0.2281810919015672,"score_spread":0.2198154865376955,"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."}}