{"id":"W4410252280","doi":"10.15353/cfs-rcea.v12i1.680","title":"Fishing amongst industrial ghosts","year":2025,"lang":"en","type":"article","venue":"Canadian Food Studies / La Revue canadienne des études sur l alimentation","topic":"Global Maritime and Colonial Histories","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishing; Fishery; Geography; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001249261,0.0002106031,0.000244497,0.001129975,0.01077894,0.002181814,0.0006500119,0.0006999136,0.009746159],"category_scores_gemma":[0.00252483,0.0001896883,0.0001336914,0.001105669,0.004862343,0.001626001,0.004440917,0.001055075,0.0007722316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002977577,"about_ca_system_score_gemma":0.003351189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08815519,"about_ca_topic_score_gemma":0.2287117,"domain_scores_codex":[0.9994144,0.0001361441,0.00001848128,0.00008703904,0.0001001118,0.0002437909],"domain_scores_gemma":[0.9989004,0.000222328,0.0002590985,0.0001405779,0.0001340069,0.0003435441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001524049,0.0001482371,0.3740546,0.0001919291,0.00003308455,0.00669419,0.4241437,0.0001405347,0.001836672,0.05277671,0.01914805,0.1206799],"study_design_scores_gemma":[0.00002408534,0.0001336622,0.1828842,0.0003720459,0.00003230271,0.004910901,0.5041088,0.0004318148,0.0004697448,0.006972765,0.2996042,0.00005545815],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542414,0.0008517649,0.0004366887,0.002295007,0.000113618,0.0000368326,0.00007684351,0.0000132343,0.04193471],"genre_scores_gemma":[0.958079,0.0007908614,0.0007119359,0.0008788774,0.00003643337,0.00002099988,0.00009700261,0.00001118902,0.03937381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9118448,"threshold_uncertainty_score":0.1752841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0507054897759286,"score_gpt":0.2808573886801464,"score_spread":0.2301518989042178,"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."}}