{"id":"W6958046299","doi":"10.6084/m9.figshare.19739266.v3","title":"Supplementary materials - JDS 2022","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Perspective (graphical); Marginal cost; Dairy industry; Activity-based costing; Cost effectiveness","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001817612,0.001621496,0.001516304,0.004094538,0.0008482145,0.003360529,0.002835484,0.00217571,0.929984],"category_scores_gemma":[0.02006151,0.001169038,0.001059033,0.00647321,0.0003874619,0.002580981,0.001903258,0.001774187,0.645633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001960962,"about_ca_system_score_gemma":0.003206789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01005445,"about_ca_topic_score_gemma":0.01270656,"domain_scores_codex":[0.9987701,0.0002020821,0.000160424,0.0002068303,0.0004934572,0.0001671391],"domain_scores_gemma":[0.9884458,0.006161137,0.0006697511,0.0009338498,0.003227716,0.0005616982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000874569,0.0001266766,0.0003654827,0.0005905971,0.00002215128,0.0000428658,0.00001325511,0.001583525,0.000187861,0.005002744,0.9753715,0.01660589],"study_design_scores_gemma":[0.0003575084,0.0001054611,0.002684634,0.000518799,0.00002772591,0.0001315988,0.00008381248,0.002873881,0.0005126827,0.02906429,0.9635726,0.00006693856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003255917,0.0002086342,0.004042866,0.0007448734,0.001045915,0.0001709387,0.953319,0.001164654,0.03897749],"genre_scores_gemma":[0.005091743,0.0006456141,0.009702344,0.001016017,0.0007542093,0.0009140862,0.906522,0.002496132,0.07285789],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07001603,"threshold_uncertainty_score":0.09986931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04752819877534249,"score_gpt":0.2413888717729721,"score_spread":0.1938606729976296,"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."}}