{"id":"W4223440860","doi":"10.1111/faf.12664","title":"Dried fish at the intersection of food science, economy, and culture: A global survey","year":2022,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Food Waste Reduction and Sustainability","field":"Agricultural and Biological Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Dried fish; Fishery; Fish <Actinopterygii>; Fisheries science; Fish products; Fish processing; Fishing; Business; Smoked fish; Fisheries management; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000391933,0.00006810964,0.00009901002,0.000004311057,0.0007671911,0.00007979461,0.0001187883,0.00002393123,0.0001851244],"category_scores_gemma":[0.00007751471,0.00002692474,0.00003032257,0.0003603168,0.0006039126,0.000145208,0.000283301,0.0000673588,1.04717e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007172601,"about_ca_system_score_gemma":0.00001866514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003784044,"about_ca_topic_score_gemma":0.007176895,"domain_scores_codex":[0.9993386,0.00009259734,0.0001166807,0.0002090375,0.0001050276,0.0001380398],"domain_scores_gemma":[0.9997387,0.00004181184,0.00005546636,0.00004428763,0.00006747223,0.00005224761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007055765,0.0002266058,0.709327,0.00005859938,0.00006337637,0.000001629716,0.003798988,0.000005545018,0.003397416,0.002444077,0.1183316,0.1616396],"study_design_scores_gemma":[0.0001180352,0.0008044564,0.8382656,0.000001292906,0.000004841291,0.0000313301,0.01902433,0.00001889858,0.0003842384,0.001988044,0.1392602,0.00009868342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922282,0.00004250688,2.700685e-7,0.003957001,0.0001348699,0.0001223563,0.0002485494,0.0000151919,0.003251075],"genre_scores_gemma":[0.998935,0.00001112111,0.000002405656,0.0004776303,0.0000283796,0.00001524918,0.00003329443,3.042615e-7,0.0004966446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1615409,"threshold_uncertainty_score":0.5900691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614669338600715,"score_gpt":0.2041617515571961,"score_spread":0.188015058171189,"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."}}