{"id":"W4383900329","doi":"10.2139/ssrn.4489476","title":"Arrival Risk Factors Associated with Morbidity and Mortality in Veal Calves in Québec, Canada","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Belt Conveyor Systems Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Demography; Geography; Medicine; Animal science; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004314943,0.0003714623,0.000333079,0.001033355,0.001539667,0.001044847,0.001335464,0.0007657252,0.002383499],"category_scores_gemma":[0.00133146,0.0002560889,0.0003997948,0.002014642,0.0006563556,0.0003302919,0.0004311892,0.0007864236,0.0002542388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01432702,"about_ca_system_score_gemma":0.01016071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9867345,"about_ca_topic_score_gemma":0.9918996,"domain_scores_codex":[0.9994937,0.00005484581,0.00002449476,0.00008951852,0.00009079305,0.0002465682],"domain_scores_gemma":[0.9983563,0.0001843262,0.0003064663,0.00004077731,0.0005854981,0.0005266406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009028289,0.00004289056,0.9965008,0.00001418133,0.00003810897,0.0001462367,0.0002935934,0.000161551,0.0002652615,0.00006355382,0.0006485764,0.001734935],"study_design_scores_gemma":[0.000002573323,0.0000206713,0.9987097,0.00001905118,0.000009225887,0.00003062056,0.0007129329,0.0002375302,0.00001702375,0.00001190969,0.0002242883,0.0000044701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966115,0.0004808912,0.0001067719,0.0001747613,0.00001477217,0.00001512133,0.001361278,0.00000755642,0.001227283],"genre_scores_gemma":[0.9975849,0.0003403694,0.0001095678,0.00006918771,0.000006938631,0.00001152692,0.0007137217,0.000005138592,0.001158687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01432702,"threshold_uncertainty_score":0.1039503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636818498604456,"score_gpt":0.213500597573714,"score_spread":0.1971324125876694,"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."}}