{"id":"W2903736148","doi":"10.1093/jas/sky404.229","title":"PSIII-25 Dairy Data: Challenges and Opportunities.","year":2018,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Data science; Scope (computer science); Identification (biology); Metagenomics; Computer science; Software; Biology; Ecology","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":[0.01926955,0.002388811,0.002320627,0.009219609,0.001763716,0.008961652,0.007054801,0.003260242,0.02735769],"category_scores_gemma":[0.04578957,0.001928848,0.002047817,0.01736128,0.0009283915,0.00835917,0.008830733,0.00370763,0.0440561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002732177,"about_ca_system_score_gemma":0.01089475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0223868,"about_ca_topic_score_gemma":0.01481895,"domain_scores_codex":[0.9865937,0.002145413,0.003080762,0.002348623,0.005114771,0.0007167083],"domain_scores_gemma":[0.9635239,0.008021504,0.002436956,0.01438174,0.00940756,0.002228204],"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":[0.0008319914,0.0001606262,0.005391076,0.003358013,0.000336621,0.0003670274,0.0005111338,0.002029163,0.003840588,0.008525211,0.9137138,0.06093482],"study_design_scores_gemma":[0.0001603468,0.00008486292,0.006834478,0.0005130059,0.00007781178,0.0002756839,0.0002721348,0.004266144,0.004477164,0.0050539,0.9778643,0.0001200638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"commentary","genre_scores_codex":[0.00193965,0.001064069,0.02765798,0.001929421,0.0006442875,0.0004950795,0.8829153,0.07442997,0.008924239],"genre_scores_gemma":[0.003170098,0.0005336544,0.01979962,0.0004114473,0.00004946777,0.0003499288,0.9713849,0.002759407,0.001541438],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02735769,"threshold_uncertainty_score":0.1019084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1896493426050317,"score_gpt":0.3025786698847011,"score_spread":0.1129293272796694,"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."}}