{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004839241,0.00009258164,0.00007342595,0.00004166107,0.0003846741,0.00005632691,0.0002458983,0.0001288558,0.000002239286],"category_scores_gemma":[0.0005165808,0.00007560969,0.00003041023,0.0001915553,0.0001616602,0.000009359364,0.00006516104,0.00006285274,2.980699e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001066558,"about_ca_system_score_gemma":0.0001376441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003234846,"about_ca_topic_score_gemma":0.000002346824,"domain_scores_codex":[0.9990023,0.000007967431,0.0001413024,0.0005007109,0.00008129363,0.0002664044],"domain_scores_gemma":[0.9993572,0.00001812149,0.00006660887,0.0002692087,0.0002018005,0.00008702692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003375173,0.00003409119,0.003782514,0.00000766583,0.000002707622,5.033991e-8,0.00002645671,0.00005530109,0.9732235,0.0001434174,0.0005011152,0.02218945],"study_design_scores_gemma":[0.0005430137,0.001067574,0.1573093,0.00001199637,0.00001810475,0.0000266987,0.000194375,0.0009215965,0.8266119,0.001525798,0.0114968,0.0002727744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974874,0.0003092452,0.02237755,0.001365946,0.00009171046,0.0004503668,0.00003564695,0.0000116769,0.0004839066],"genre_scores_gemma":[0.9856894,0.00003826318,0.0126419,0.0002573869,0.0002362718,0.00005017606,0.00002363123,0.000007052228,0.001055924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1535268,"threshold_uncertainty_score":0.3083273,"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."}}