{"id":"W3024622303","doi":"10.3168/jds.2020-18666","title":"Introduction: ADSA and Interbull Joint Breeding and Genetics Symposia","year":2020,"lang":"en","type":"review","venue":"Journal of Dairy Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Genomic selection; Selection (genetic algorithm); Joint (building); Genomic medicine; Operations research; Biology; Computer science; Engineering; Computational biology; Genetics; Gene; Civil engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001281173,0.001669741,0.001137662,0.002758281,0.0005463915,0.002651736,0.001306558,0.002138721,0.0699197],"category_scores_gemma":[0.001746086,0.0003566643,0.0007767436,0.001912289,0.0005094155,0.003073037,0.002227043,0.004011581,0.04255692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007867991,"about_ca_system_score_gemma":0.001464853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001034387,"about_ca_topic_score_gemma":0.001933126,"domain_scores_codex":[0.9995686,0.00006442157,0.00005341484,0.00009066064,0.0001537002,0.00006922296],"domain_scores_gemma":[0.9989446,0.0002041114,0.0001276574,0.00003577595,0.0003874499,0.0003004366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001225954,0.00006212517,0.00008445326,0.004006607,0.00002401502,0.00008721714,0.00004324324,0.0000938055,0.0008944925,0.003030235,0.7252013,0.2663499],"study_design_scores_gemma":[0.000007070917,0.00002182293,0.0001832304,0.0010373,0.000007571834,0.0001331077,0.00001487051,0.000009481579,0.00004899182,0.0004089621,0.9981217,0.000005849336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002818251,0.8700065,0.0006730166,0.008311526,0.09428698,0.00009390357,0.0006639233,0.0001948487,0.02548748],"genre_scores_gemma":[0.002452071,0.8340934,0.00116079,0.01955067,0.04571306,0.0001626563,0.001849322,0.0001159371,0.09490209],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0699197,"threshold_uncertainty_score":0.2339047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0259488084066124,"score_gpt":0.2812610142981721,"score_spread":0.2553122058915597,"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."}}