{"id":"W2169250716","doi":"10.3382/ps.2008-00403","title":"Inseminating fresh or cryopreserved semen for maximum efficiency: Implications for gene banks and industry","year":2009,"lang":"en","type":"article","venue":"Poultry Science","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Germplasm; Semen; Artificial insemination; Insemination; Biology; Breed; Biotechnology; Cryopreservation; Genetic resources; Animal science; Pregnancy; Genetics; Agronomy; Embryo","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":[0.007781946,0.0003468005,0.0003225201,0.0006250988,0.0008157215,0.00344606,0.00114143,0.001405914,0.004231463],"category_scores_gemma":[0.006513634,0.0001802511,0.0002337005,0.001422637,0.001360484,0.00286466,0.0007248831,0.0009444,0.0009199796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001707151,"about_ca_system_score_gemma":0.003057708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00196305,"about_ca_topic_score_gemma":0.005550452,"domain_scores_codex":[0.9986135,0.0007351721,0.00009017452,0.0001743991,0.0002898241,0.00009697129],"domain_scores_gemma":[0.9951463,0.002685382,0.0006993893,0.0003888552,0.0006766367,0.0004032757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001215738,0.000729822,0.06905244,0.0006202584,0.00005666067,0.001009688,0.0007854711,0.008471919,0.08289597,0.04484849,0.01143495,0.7788786],"study_design_scores_gemma":[0.0001694986,0.005226956,0.3262206,0.002656738,0.0002902402,0.003038113,0.01507911,0.03822966,0.1455811,0.1704659,0.2926542,0.0003878888],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5797955,0.0885568,0.08970665,0.1677035,0.0007487909,0.0002597142,0.001586828,0.0004523906,0.07118973],"genre_scores_gemma":[0.8909383,0.02649795,0.06899565,0.004089833,0.0003415735,0.0001701851,0.0004728337,0.00007415129,0.008419513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007781946,"threshold_uncertainty_score":0.0411554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02869428332788452,"score_gpt":0.3183005536801018,"score_spread":0.2896062703522173,"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."}}