{"id":"W7081587068","doi":"","title":"Iridescence in Meat and Fish","year":2024,"lang":"en","type":"book-chapter","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"","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":[0.0001866909,0.0003040406,0.0003543448,0.0007830365,0.0007974793,0.001139848,0.0004454663,0.0007302382,0.01507196],"category_scores_gemma":[0.0001718605,0.0001981411,0.0003171827,0.0006613217,0.001204103,0.0008183975,0.0007003486,0.0007152447,0.001231378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007992412,"about_ca_system_score_gemma":0.0003573667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003977329,"about_ca_topic_score_gemma":0.006980154,"domain_scores_codex":[0.9999353,0.00001125082,0.000002114956,0.00001921604,0.00001624957,0.00001589236],"domain_scores_gemma":[0.9999521,0.00001995369,0.000004110851,0.000002827247,0.00001166713,0.000009453744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009681227,0.0003437718,0.00328433,0.00274472,0.00007397315,0.006856042,0.007490018,0.001378768,0.2802898,0.2804485,0.03125986,0.3848621],"study_design_scores_gemma":[0.00001917989,0.0007724679,0.02782654,0.0005782258,0.00005346176,0.0040769,0.004884101,0.0004444078,0.03140908,0.04366677,0.8862249,0.00004388068],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.111092,0.1825166,0.003371665,0.002263992,0.0012029,0.00002868522,0.0001098989,0.00005817692,0.699356],"genre_scores_gemma":[0.233012,0.05815135,0.001180592,0.0007630366,0.0006083807,0.00002579363,0.0001135273,0.00004948197,0.7060959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01507196,"threshold_uncertainty_score":0.0504207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298666019245331,"score_gpt":0.1994448381234829,"score_spread":0.1864581779310296,"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."}}