{"id":"W2068339509","doi":"10.1071/rdv22n1ab409","title":"409 SUPERSTIMULATED BOVINE DONORS INSEMINATED WITH SEMEN WITH DIFFERENT LINEARITY EVALUATED BY COMPUTER-ASSISTED SPERM ANALYSIS","year":2009,"lang":"en","type":"article","venue":"Reproduction Fertility and Development","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Theriogenology; Sperm; Semen; Andrology; Reproductive technology; Biology; Gynecology; Artificial insemination; Semen analysis; Embryo culture; Animal science; Medicine; Embryo; Cryopreservation; Pregnancy; Infertility","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008187375,0.000405343,0.0007879118,0.0002228445,0.0003154962,0.0000364599,0.00008094557,0.0001868186,0.00009664677],"category_scores_gemma":[0.0001035491,0.0002648232,0.00006894593,0.0009768897,0.0002646607,0.0001339853,0.00004282521,0.0003509653,0.000005071857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002519217,"about_ca_system_score_gemma":0.0001547013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007975129,"about_ca_topic_score_gemma":0.00005151673,"domain_scores_codex":[0.9968056,0.0001927836,0.0005829809,0.001620187,0.0004194134,0.0003790314],"domain_scores_gemma":[0.9981409,0.0000293876,0.0001516907,0.0008798713,0.0005415955,0.0002565862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05824282,0.003916563,0.8382793,0.0001661464,0.003408971,0.00003754031,0.001582771,0.0001945204,0.01148896,0.00000233307,0.0003071527,0.08237292],"study_design_scores_gemma":[0.002075463,0.001690946,0.9705113,0.00004998892,0.0006509715,0.00005620809,0.00008107001,0.001680306,0.02203427,0.000006832725,0.0008353486,0.0003273309],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992604,0.0004367022,0.004093399,0.001620382,0.00007612912,0.0008490095,0.000007834444,0.0002324271,0.00008015721],"genre_scores_gemma":[0.9961117,0.00003338933,0.002312661,0.0001736874,0.00005049419,0.0000206713,0.0006697048,0.00001298412,0.0006147017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.132232,"threshold_uncertainty_score":0.9999804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02159355809994718,"score_gpt":0.2650231107615404,"score_spread":0.2434295526615933,"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."}}