{"id":"W3000382870","doi":"10.1371/journal.pone.0226544","title":"Potential socioeconomic impacts from ocean acidification and climate change effects on Atlantic Canadian fisheries","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada; Marine Environmental Observation Prediction and Response Network","keywords":"Ocean acidification; Climate change; Fishery; Invertebrate; Effects of global warming on oceans; Nova scotia; Resource (disambiguation); Oceanography; Global change; Environmental change; Environmental science; Ecology; Geography; Global warming; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008149666,0.0001221581,0.0001704313,0.00005760233,0.0001945033,0.00011256,0.0001005854,0.00006731127,0.0005646623],"category_scores_gemma":[0.00006105784,0.0001047623,0.00002623163,0.00005236731,0.00004793344,0.0001821372,0.000005889591,0.00009797719,0.0006654618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008191268,"about_ca_system_score_gemma":0.00003404365,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02180748,"about_ca_topic_score_gemma":0.01338763,"domain_scores_codex":[0.9991657,0.00008848736,0.0001173613,0.0002547778,0.0001152384,0.0002584855],"domain_scores_gemma":[0.9992801,0.0001482528,0.00006058173,0.0001150214,0.00001405715,0.0003819742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000229327,0.00004960967,0.9838621,0.000204164,0.0001038471,0.0000287379,0.001290261,0.00001366427,0.003690439,0.00002054595,0.0005994695,0.009907854],"study_design_scores_gemma":[0.0002439732,0.0002404519,0.9904079,0.0000513041,0.00005617125,7.184608e-7,0.00005679008,0.005693285,0.002903347,0.00003302141,0.0001610332,0.0001520378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896824,0.0003189222,8.374483e-7,0.009066908,0.00006368062,0.0003125868,0.0002588477,0.00005096969,0.0002448336],"genre_scores_gemma":[0.9963481,0.0005015544,0.00008251294,0.002319876,0.0003883619,0.000001265178,0.0003439807,0.000006445839,0.000007857833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009755816,"threshold_uncertainty_score":0.9847064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02895575409626637,"score_gpt":0.1857571497007351,"score_spread":0.1568013956044688,"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."}}