{"id":"W6913176811","doi":"10.5683/sp3/8lp7cf","title":"Development, using supervised machine learning methods, of an optimized interpretation grid for a commercial milk test designed for detection of pregnancy in dairy cows between 23 and 90 days since breeding.","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Interpretation (philosophy); Grid; Pregnancy; Test (biology); Supervised learning","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":[0.00238518,0.002891989,0.001364539,0.002457381,0.0006685583,0.001569143,0.003326849,0.001489947,0.01288463],"category_scores_gemma":[0.006448463,0.0009590792,0.001643426,0.001559229,0.0005036573,0.0008237898,0.001569426,0.001469829,0.02445813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578339,"about_ca_system_score_gemma":0.002546286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02199877,"about_ca_topic_score_gemma":0.05158866,"domain_scores_codex":[0.9986817,0.0002623608,0.0001463523,0.000519418,0.0002791778,0.0001110484],"domain_scores_gemma":[0.9977666,0.0008391273,0.0001825761,0.000503186,0.00055998,0.0001485625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006535044,0.000277581,0.01503684,0.001402111,0.0003511466,0.0002033725,0.0001074636,0.008406071,0.003996282,0.0009250556,0.9186823,0.04995846],"study_design_scores_gemma":[0.001434256,0.0004105188,0.04938528,0.0007593596,0.0004816659,0.0009831797,0.0003053278,0.07923549,0.02253727,0.008225247,0.8359125,0.0003298291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007096568,0.0002724313,0.01538022,0.0002163149,0.0002177856,0.0003340375,0.9459921,0.02791464,0.002575925],"genre_scores_gemma":[0.005313657,0.00004795556,0.01770781,0.0001069329,0.0000113768,0.0004960639,0.9747798,0.0007207274,0.0008157582],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02199877,"threshold_uncertainty_score":0.04374141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08051299498980444,"score_gpt":0.3565429831192167,"score_spread":0.2760299881294123,"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."}}