{"id":"W2154119206","doi":"10.1016/j.theriogenology.2008.09.017","title":"Analysis of bovine sexed sperm for IVF from sorting to the embryo","year":2008,"lang":"en","type":"article","venue":"Theriogenology","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":107,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; L'Alliance Boviteq","funders":"","keywords":"Andrology; Sperm; Biology; Sorting; Gynecology; Medicine; Computer science; Algorithm","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":[0.0003836458,0.0002471285,0.0003889778,0.0009994964,0.0007660624,0.000893229,0.0005134218,0.0007274619,0.003445678],"category_scores_gemma":[0.0007594863,0.0001945572,0.000429294,0.0007040452,0.0003720092,0.0002898379,0.0003153708,0.0007295631,0.001271142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005190025,"about_ca_system_score_gemma":0.0006595291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006687584,"about_ca_topic_score_gemma":0.008479617,"domain_scores_codex":[0.999645,0.00004674297,0.00002460514,0.00006703238,0.0001113105,0.0001053634],"domain_scores_gemma":[0.9993935,0.0002481281,0.00004067434,0.0000492336,0.0002027445,0.00006579859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002497162,0.00002602361,0.002456825,0.00003361013,0.00001421693,0.0001339372,0.00009153289,0.00005327003,0.99348,0.0002006184,0.0001244644,0.003135771],"study_design_scores_gemma":[0.00003846287,0.000411188,0.1400418,0.00004506958,0.0001080559,0.00103529,0.000398549,0.001613521,0.8478252,0.0002250333,0.008228381,0.00002938775],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786089,0.00235887,0.01003401,0.0002695552,0.000120509,0.0001161805,0.001788648,0.00009119097,0.00661218],"genre_scores_gemma":[0.9619039,0.001287299,0.01419447,0.0003948129,0.00004039781,0.00009891042,0.007394356,0.0001655465,0.01452032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006687584,"threshold_uncertainty_score":0.01329732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04504625235313225,"score_gpt":0.298200401626667,"score_spread":0.2531541492735347,"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."}}