{"id":"W6920779243","doi":"10.6084/m9.figshare.19739266.v2","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":[],"category_scores_codex":[0.001817613,0.001621497,0.001516304,0.004094535,0.0008482141,0.003360525,0.002835484,0.002175711,0.929984],"category_scores_gemma":[0.02006154,0.00116904,0.001059033,0.006473216,0.0003874615,0.002580985,0.001903259,0.001774187,0.6456331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00196096,"about_ca_system_score_gemma":0.003206789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01005444,"about_ca_topic_score_gemma":0.01270654,"domain_scores_codex":[0.9987701,0.0002020821,0.000160424,0.0002068303,0.0004934577,0.0001671392],"domain_scores_gemma":[0.9884458,0.006161149,0.0006697518,0.0009338515,0.00322772,0.0005616987],"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":[0.00008745674,0.0001266766,0.0003654822,0.0005905971,0.00002215128,0.00004286576,0.00001325511,0.001583526,0.0001878608,0.005002744,0.9753715,0.01660587],"study_design_scores_gemma":[0.000357509,0.0001054613,0.002684634,0.0005187999,0.00002772591,0.0001315989,0.00008381264,0.002873888,0.0005126829,0.02906435,0.9635725,0.00006693861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003255917,0.0002086342,0.004042866,0.0007448737,0.001045915,0.0001709387,0.953319,0.001164653,0.03897747],"genre_scores_gemma":[0.005091745,0.0006456146,0.009702343,0.001016017,0.0007542099,0.0009140873,0.9065219,0.002496132,0.07285792],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.929984,"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."}}