{"id":"W4205552208","doi":"10.1111/gcb.16058","title":"Timing and magnitude of climate‐driven range shifts in transboundary fish stocks challenge their management","year":2022,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Social Sciences and Humanities Research Council of Canada; Horizon 2020 Framework Programme; National Supercomputing Centre Singapore; Centro Svizzero di Calcolo Scientifico; Gordon and Betty Moore Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Compute Canada; Natural Sciences and Engineering Research Council of Canada; Walton Family Foundation; David and Lucile Packard Foundation","keywords":"Magnitude (astronomy); Environmental science; Fish <Actinopterygii>; Range (aeronautics); Climate change; Fish stock; Environmental resource management; Climatology; Fishery; Ecology; Biology; Geology; Physics","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":[0.001304471,0.0004000753,0.000380527,0.000449945,0.0007503945,0.002034739,0.00105025,0.001087416,0.002718783],"category_scores_gemma":[0.003870373,0.0002619105,0.0007735942,0.0005553269,0.0007193335,0.002132708,0.001549305,0.001430021,0.0002273976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001255377,"about_ca_system_score_gemma":0.001327477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02680699,"about_ca_topic_score_gemma":0.0270619,"domain_scores_codex":[0.9996234,0.0001476254,0.00002610368,0.00009903865,0.00005846954,0.00004532063],"domain_scores_gemma":[0.9989991,0.0003155436,0.0002361233,0.0001243115,0.0002015898,0.0001233245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001556701,0.00009795112,0.1881936,0.0001221334,0.0004561802,0.0003703076,0.0005750032,0.7396364,0.005150003,0.02380178,0.004153596,0.03728744],"study_design_scores_gemma":[0.00003227626,0.0001000031,0.07709285,0.0001013308,0.0001407287,0.000167949,0.002264916,0.8639818,0.001552363,0.04504342,0.009392986,0.000129427],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9420038,0.001206858,0.0320302,0.006679968,0.0002915283,0.00003101449,0.0007059794,0.0002206933,0.01682992],"genre_scores_gemma":[0.9950094,0.00043984,0.00337441,0.0002219261,0.00002878659,0.00001821507,0.0001890498,0.00003878109,0.0006795071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02680699,"threshold_uncertainty_score":0.05330187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04447915917207711,"score_gpt":0.2778261295137685,"score_spread":0.2333469703416914,"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."}}