{"id":"W2797421831","doi":"10.1530/rep-18-0008","title":"40 years of bovine IVF in the new genomic selection context","year":2018,"lang":"en","type":"review","venue":"Reproduction","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","funders":"","keywords":"Gamete; Context (archaeology); In vitro fertilisation; Reproductive technology; Biology; Sexing; Evolutionary biology; Selection (genetic algorithm); Human fertilization; Embryo; Zoology; Genetics; Cryopreservation; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001633994,0.000195072,0.0009406999,0.0001441672,0.00003454832,0.000004956211,0.0001278132,0.0002946166,0.00006690111],"category_scores_gemma":[0.0008984758,0.0001340201,0.0002523648,0.0005124242,0.0001668109,0.00004839875,0.00002761455,0.0004484389,0.0001031621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001692082,"about_ca_system_score_gemma":0.0003717993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001580878,"about_ca_topic_score_gemma":0.00002226169,"domain_scores_codex":[0.9978902,0.0003531427,0.0005877596,0.0008645113,0.0001402683,0.0001641428],"domain_scores_gemma":[0.9983945,0.00005025807,0.0003597466,0.001047305,0.0001156931,0.00003251373],"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":[0.0005913952,0.0001206261,0.0001610637,0.00199912,0.0001063037,0.00000226531,0.000194294,1.01467e-7,0.0001080071,0.00002001677,0.005169598,0.9915272],"study_design_scores_gemma":[0.0001894217,0.0003730147,0.01957748,0.001010787,0.0004272955,0.0003778944,0.00002829079,4.750369e-7,0.00006941812,0.00009812594,0.9777435,0.0001042758],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007990246,0.9893688,0.00001476258,0.0002729993,0.0007312367,0.001299533,0.00000309758,0.00002882579,0.0002905139],"genre_scores_gemma":[0.003922455,0.9908553,0.00007140773,0.00002716995,0.003186553,0.00003450708,0.0000710327,0.00002375407,0.001807844],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.991423,"threshold_uncertainty_score":0.546518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06586914576286218,"score_gpt":0.3467344394772826,"score_spread":0.2808652937144204,"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."}}