{"id":"W4283656139","doi":"10.7717/peerj.13486","title":"Public awareness of seafood mislabeling","year":2022,"lang":"en","type":"article","venue":"PeerJ","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Medicine; Dentistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000238415,0.00004954174,0.000063111,0.00004509306,0.0001559065,0.00001307279,0.0002048227,0.00002519164,0.0002654728],"category_scores_gemma":[0.00008285223,0.00005683283,0.00004984801,0.0001288569,0.00003097261,0.000001730449,0.0001055626,0.00004777231,0.00001113675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007242446,"about_ca_system_score_gemma":0.00007562921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007512131,"about_ca_topic_score_gemma":0.000004545905,"domain_scores_codex":[0.9993586,0.00005446756,0.000158056,0.000179293,0.0001537154,0.00009588183],"domain_scores_gemma":[0.9994262,0.000005536399,0.00008424773,0.0003153084,0.0001396829,0.00002902159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001416499,0.0001328901,0.00440555,0.00001869462,0.00003295262,2.291844e-7,0.00007042406,0.0001405565,0.9799816,0.004369799,0.009561412,0.001271715],"study_design_scores_gemma":[0.0003421881,0.00009560405,0.003326002,0.000001320402,0.0000103998,0.00001030736,0.0003373988,0.0002086505,0.5814124,0.00010719,0.4140109,0.0001377217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933165,0.0003279503,0.001591597,0.001400503,0.0004109497,0.0001064331,0.00006299016,0.00001724225,0.002765807],"genre_scores_gemma":[0.9957268,0.00001054915,0.0001701805,0.000116352,0.00004471613,0.00004937089,0.0003315597,0.000009837476,0.003540688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4044494,"threshold_uncertainty_score":0.2906741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07685372061704007,"score_gpt":0.2923492945386454,"score_spread":0.2154955739216053,"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."}}