{"id":"W2998579002","doi":"10.221751/rmc2017.081","title":"Effect of Carcass Management on Horse Meat Quality","year":2017,"lang":"en","type":"article","venue":"Meat and Muscle Biology","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Business; Quality (philosophy); Food science; Operations management; Biology; Engineering","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":[0.0006553568,0.0004451842,0.0003703617,0.0003240377,0.0003829472,0.0008094905,0.0003150633,0.0003948717,0.004176653],"category_scores_gemma":[0.001450515,0.0002080477,0.0002493326,0.0001976298,0.0004063458,0.0004331523,0.0003696668,0.0004702949,0.0003246153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005605096,"about_ca_system_score_gemma":0.0004008689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002544042,"about_ca_topic_score_gemma":0.00713459,"domain_scores_codex":[0.9996001,0.0001151297,0.00003707193,0.0001008228,0.0000528953,0.00009393632],"domain_scores_gemma":[0.9986989,0.0004022661,0.0002448478,0.00008064395,0.0001812735,0.0003918844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.07172459,0.009382843,0.08574437,0.0003593357,0.0005806697,0.0008683949,0.0007033677,0.002476424,0.759135,0.0002363802,0.0008422284,0.06794643],"study_design_scores_gemma":[0.0005600886,0.04468824,0.8236465,0.00005920272,0.0005808757,0.0003752383,0.001245024,0.003427695,0.1220854,0.000218092,0.003050651,0.00006293508],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990962,0.00009750263,0.0002019939,0.00004500406,0.00002125183,0.0000130045,0.00005397722,0.00001193286,0.0004592078],"genre_scores_gemma":[0.9946296,0.00008082086,0.0006405091,0.000118678,0.00002405099,0.00001771482,0.0001350923,0.00002341364,0.004330117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004176653,"threshold_uncertainty_score":0.01397228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05198675742025927,"score_gpt":0.3226892636591168,"score_spread":0.2707025062388575,"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."}}