{"id":"W2951411417","doi":"","title":"Making molecular biology fun: Fish fraud in Ontario","year":2019,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fish <Actinopterygii>; Biology; Fishery; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003174983,0.0004168903,0.0004423595,0.001255992,0.04074268,0.004280142,0.002655428,0.003276047,0.01037665],"category_scores_gemma":[0.01001893,0.0007704676,0.0005492213,0.003092492,0.00953637,0.002680059,0.005485179,0.003087836,0.001138771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09317711,"about_ca_system_score_gemma":0.09888209,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9660072,"about_ca_topic_score_gemma":0.9872847,"domain_scores_codex":[0.9941521,0.0009094276,0.0001159392,0.0004811861,0.002480429,0.001860872],"domain_scores_gemma":[0.988867,0.001349975,0.001170722,0.0005288101,0.003217553,0.004865913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008093576,0.001573951,0.328675,0.0004289642,0.00008508373,0.01131114,0.2950835,0.0008885575,0.006093295,0.01640773,0.1854303,0.1532132],"study_design_scores_gemma":[0.00007084732,0.0003439908,0.2577401,0.0002149375,0.00003536828,0.001350432,0.2755252,0.001373069,0.001680836,0.002882842,0.458619,0.0001633578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8503764,0.0009997789,0.001068577,0.07382283,0.0003875042,0.0003747894,0.0004628244,0.000127622,0.07237965],"genre_scores_gemma":[0.9112672,0.001689281,0.002515962,0.009665583,0.00008284774,0.0001132049,0.0002913313,0.00008133968,0.07429332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09317711,"threshold_uncertainty_score":0.6760504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09819275446941812,"score_gpt":0.3362315055987257,"score_spread":0.2380387511293076,"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."}}