{"id":"W4220975448","doi":"10.22175/mmb.12473","title":"American Meat Science Association Guidelines for Meat Color Measurement","year":2022,"lang":"en","type":"article","venue":"Meat and Muscle Biology","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":275,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"U.S. Department of Agriculture","keywords":"Myoglobin; Instrumentation (computer programming); Association (psychology); Computer science; Perception; Color vision; Human–computer interaction; Data science; Psychology; Artificial intelligence; Chemistry","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":[0.0159809,0.001675418,0.001370318,0.009132918,0.00261376,0.003743978,0.005065886,0.004230621,0.0794318],"category_scores_gemma":[0.02777079,0.00136644,0.001647894,0.007578277,0.001635939,0.002441811,0.002792204,0.005118375,0.0576253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001825641,"about_ca_system_score_gemma":0.007242103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01354832,"about_ca_topic_score_gemma":0.02609294,"domain_scores_codex":[0.9760678,0.005837935,0.002625112,0.001565917,0.01311671,0.0007864836],"domain_scores_gemma":[0.9566996,0.005148571,0.002147107,0.004486345,0.03069873,0.0008196916],"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":[0.0004356644,0.0007333388,0.003222289,0.002488504,0.00005245887,0.0004266434,0.0006342048,0.0004391314,0.01487606,0.01009803,0.6480241,0.3185695],"study_design_scores_gemma":[0.00002707316,0.0001726282,0.004997351,0.001378022,0.00002677214,0.0004175087,0.0002411371,0.0002999694,0.002678287,0.00238394,0.9873227,0.00005452866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01506561,0.0434029,0.2507053,0.02401183,0.02775189,0.01247488,0.05745193,0.01128767,0.5578479],"genre_scores_gemma":[0.03564126,0.03647277,0.4589439,0.01867154,0.002736979,0.01782207,0.06302065,0.004790868,0.3619],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0794318,"threshold_uncertainty_score":0.2657259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1444485868166443,"score_gpt":0.3249337635270559,"score_spread":0.1804851767104116,"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."}}