{"id":"W6976567786","doi":"10.6084/m9.figshare.12051282.v1","title":"Additional file 3 of Quantitative assessment of German Holstein dairy cattle colostrum and impact of thermal treatment on quality of colostrum viscosity and immunoglobulins","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Animal health and immunology","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Colostrum; Dairy cattle; Quantitative assessment; Statistical analysis; Dairy industry; Viscosity; Quality assessment; Quality (philosophy)","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":[0.001862674,0.001159391,0.001239358,0.002150823,0.0007549371,0.001658653,0.001471322,0.001276499,0.8494854],"category_scores_gemma":[0.0227885,0.000544887,0.0008784374,0.002563753,0.0002228043,0.001247381,0.0009165491,0.0006224618,0.1473921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103746,"about_ca_system_score_gemma":0.001269712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008025459,"about_ca_topic_score_gemma":0.01145565,"domain_scores_codex":[0.9991474,0.0001173647,0.0001730605,0.0002209554,0.0002329363,0.0001082727],"domain_scores_gemma":[0.9826957,0.01272125,0.001120191,0.0008839714,0.002323487,0.0002554698],"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":[0.0007275151,0.0001777345,0.004483001,0.004420858,0.00008183897,0.00009786327,0.00008968593,0.0005431109,0.0004172285,0.0005502973,0.9730751,0.01533577],"study_design_scores_gemma":[0.00546372,0.0004355528,0.05552281,0.004154487,0.0002885513,0.0005163513,0.0005301822,0.002641242,0.001993508,0.007317991,0.9209454,0.000190249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002649924,0.00001879125,0.0002161143,0.00006438173,0.00001730812,0.00005871764,0.9984895,0.0003106584,0.0005595065],"genre_scores_gemma":[0.01125723,0.0001412041,0.003891544,0.0004439614,0.00008967237,0.001764638,0.9714121,0.001050563,0.009949046],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8494854,"threshold_uncertainty_score":0.2146907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1595984025803362,"score_gpt":0.4305086554676806,"score_spread":0.2709102528873444,"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."}}