{"id":"W7133272953","doi":"","title":"Newfoundland and Labrador Comparative Fishing Analysis – MV Calvert","year":2025,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fisheries and Oceans Canada","keywords":"Coast guard; Fishing; Catch per unit effort; Spring (device); Taxon","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0009651667,0.0003611756,0.0002759215,0.004815915,0.001374966,0.0008669535,0.0006825874,0.0001547741,0.03450956],"category_scores_gemma":[0.001824559,0.0002289526,0.0003695877,0.005929888,0.0004483164,0.0004817572,0.0009177724,0.0003953043,0.003815978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00939879,"about_ca_system_score_gemma":0.005204169,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9316361,"about_ca_topic_score_gemma":0.9829645,"domain_scores_codex":[0.9990363,0.00007588938,0.00006211977,0.0001914292,0.0002957199,0.0003385073],"domain_scores_gemma":[0.9969818,0.0001852812,0.0004806363,0.0002398693,0.001771449,0.0003409391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000480226,0.0001433692,0.7051818,0.0002444602,0.0002128439,0.0005584579,0.001251771,0.001002558,0.001374686,0.003195902,0.1745645,0.1117895],"study_design_scores_gemma":[0.000005042958,0.00001796822,0.9660972,0.00003001478,0.00001135207,0.0000384827,0.0006772701,0.0001204634,0.000146359,0.00003109928,0.0328166,0.00000822263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5466787,0.001040413,0.001167675,0.0004585446,0.0001177659,0.0002797557,0.2307519,0.0002668191,0.2192384],"genre_scores_gemma":[0.5613101,0.0008689971,0.005746197,0.0003242876,0.00004871075,0.0004251697,0.1576497,0.000235032,0.2733918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0683639,"threshold_uncertainty_score":0.1375329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110236841206461,"score_gpt":0.2558224879286353,"score_spread":0.2447988038079892,"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."}}