{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001051977,0.0002912167,0.0003348052,0.0073296,0.00054774,0.002105262,0.0002803924,0.0004996294,0.003134136],"category_scores_gemma":[0.001793642,0.0002250738,0.0002743403,0.01910434,0.001072039,0.003508206,0.00189352,0.0004256782,0.0003906476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000616318,"about_ca_system_score_gemma":0.0008958874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00717835,"about_ca_topic_score_gemma":0.01456026,"domain_scores_codex":[0.99957,0.0001052838,0.00006180198,0.00009392345,0.00009540673,0.00007351256],"domain_scores_gemma":[0.998082,0.0007809437,0.0005517377,0.0000859667,0.0003440938,0.0001552269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007248679,0.00003596308,0.6420242,0.008406201,0.0002427259,0.001311099,0.1208933,0.0002190874,0.002090242,0.01191116,0.01268103,0.2001126],"study_design_scores_gemma":[0.000001620194,0.00006030224,0.8599728,0.002252979,0.00005309528,0.0008004669,0.08422314,0.00008708992,0.0001734663,0.0007905363,0.05156114,0.00002341158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8922942,0.07553779,0.0005376861,0.003937433,0.00007406893,0.00004227378,0.009909156,0.00003773655,0.01762973],"genre_scores_gemma":[0.9346216,0.05916817,0.0009722024,0.0005688226,0.00006296175,0.00004780868,0.002954047,0.00001919223,0.001585199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0073296,"threshold_uncertainty_score":0.01427311,"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."}}