{"id":"W1832797358","doi":"10.1139/cjfas-2015-0346","title":"Northern cod comeback","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Capelin; Gadus; Fishery; Stock (firearms); Fishing; Gadidae; Overexploitation; Mallotus; Atlantic cod; Biology; Geography; Environmental science; Ecology; Predation; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003422399,0.0003489349,0.0002604118,0.0005695161,0.001066758,0.000914951,0.0002821225,0.0004858192,0.0123533],"category_scores_gemma":[0.0009721211,0.00009994461,0.0003142629,0.0002383119,0.000315667,0.0005802792,0.001109431,0.000461651,0.002483992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118729,"about_ca_system_score_gemma":0.0004278545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02097286,"about_ca_topic_score_gemma":0.04736242,"domain_scores_codex":[0.9997628,0.00001144985,0.00001132913,0.00006636314,0.00008715894,0.00006089493],"domain_scores_gemma":[0.9996907,0.00002210514,0.00005888501,0.00003181583,0.0001009792,0.00009569016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00108659,0.0002394001,0.5898805,0.0004632772,0.0002131124,0.008859302,0.001820145,0.0002058212,0.02010138,0.006270977,0.07343208,0.2974274],"study_design_scores_gemma":[0.00003999395,0.0004612753,0.8223165,0.0002963377,0.0001095391,0.007057364,0.002470978,0.0002619234,0.004114204,0.001285902,0.1615497,0.00003617076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8460481,0.005423435,0.0008707676,0.003696873,0.001935329,0.00008463173,0.002789753,0.0002199078,0.1389313],"genre_scores_gemma":[0.8982665,0.002607167,0.0006721544,0.003834972,0.0003167221,0.00005301187,0.003583294,0.00004136683,0.09062488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9790272,"threshold_uncertainty_score":0.04170161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0394982149856077,"score_gpt":0.2407555291614486,"score_spread":0.2012573141758409,"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."}}