{"id":"W4214888097","doi":"10.21203/rs.3.rs-1375860/v1","title":"Predictive Blood Biomarkers of Sheep Pregnancy and Litter Size","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Olds College","funders":"University of Alberta; Alberta Agriculture and Forestry; Université Laval","keywords":"Domestic sheep reproduction; Flock; Pregnancy; Litter; Receiver operating characteristic; Animal science; Transrectal ultrasonography; Biology; Medicine; Physiology; Obstetrics; Veterinary medicine; Internal medicine; Agronomy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006529746,0.0003423119,0.0002982623,0.0005605505,0.0001624276,0.0005736147,0.0001833482,0.000368636,0.0005109476],"category_scores_gemma":[0.0009873596,0.0001319436,0.0001102159,0.0004149883,0.0002653261,0.0001297034,0.0001512776,0.0002829776,0.0001754753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005304258,"about_ca_system_score_gemma":0.0004825868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01951173,"about_ca_topic_score_gemma":0.03324222,"domain_scores_codex":[0.9998104,0.00003642251,0.000006317518,0.00005063488,0.00006987193,0.00002643565],"domain_scores_gemma":[0.9994171,0.0001466704,0.0001794271,0.00002434245,0.0001716051,0.00006092939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000911162,0.0001274211,0.7379833,0.0001021098,0.0001117341,0.0001225509,0.0001061654,0.001053847,0.235324,0.00007192575,0.0005569017,0.02352902],"study_design_scores_gemma":[0.00001113432,0.0002736794,0.9709995,0.00001281661,0.00005232322,0.0001403602,0.0001070753,0.003861695,0.02393506,0.00008982074,0.0005070506,0.000009579636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935795,0.001260705,0.003259285,0.00008387708,0.0000120044,0.00002342738,0.0008723513,0.00007572274,0.0008330991],"genre_scores_gemma":[0.9939984,0.0003361418,0.004269011,0.00005004347,0.000006777415,0.00001189247,0.0005901915,0.000005406798,0.0007321902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01951173,"threshold_uncertainty_score":0.03879631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05175275650504958,"score_gpt":0.3334234889452694,"score_spread":0.2816707324402198,"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."}}