{"id":"W4296831603","doi":"10.1111/fog.12610","title":"Impact of warming and deoxygenation on the habitat distribution of Pacific halibut in the Northeast Pacific","year":2022,"lang":"en","type":"article","venue":"Fisheries Oceanography","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; InStream Fisheries Research (Canada); University of British Columbia","funders":"National Oceanic and Atmospheric Administration; National Science Foundation of Sri Lanka; Natural Sciences and Engineering Research Council of Canada; California Ocean Protection Council; Marine Environmental Observation Prediction and Response Network","keywords":"Halibut; Oceanography; Fishery; Habitat; Environmental science; Continental shelf; Effects of global warming on oceans; Global warming; Geography; Climate change; Ecology; Geology; Biology; Fish <Actinopterygii>","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":[0.0001870497,0.0002368874,0.0001404065,0.0003311899,0.0002425659,0.0006892564,0.0002364603,0.000178317,0.001066154],"category_scores_gemma":[0.0004817191,0.0001504027,0.0003459374,0.0004389152,0.0002599794,0.0003273954,0.0004396654,0.0001790736,0.00007040175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001251922,"about_ca_system_score_gemma":0.0006813467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1592745,"about_ca_topic_score_gemma":0.1933644,"domain_scores_codex":[0.9999362,0.00001498345,0.000004496732,0.00001989402,0.00001090932,0.00001341696],"domain_scores_gemma":[0.9998184,0.00003578853,0.00005163008,0.00001448875,0.00004024592,0.00003946628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008449563,0.00002215741,0.96551,0.00001741393,0.00009349772,0.000116357,0.00008188097,0.02922343,0.001977547,0.0001110058,0.0002255635,0.00253679],"study_design_scores_gemma":[0.000009766699,0.0000268324,0.9440469,0.000007705991,0.00002936482,0.00002936711,0.0003124028,0.0546627,0.0004750884,0.0001154562,0.0002745904,0.000009837313],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992021,0.0000300887,0.000120127,0.0000362895,0.000001691842,0.000001450635,0.0002702251,0.000006315445,0.0003318837],"genre_scores_gemma":[0.999476,0.00003707754,0.0001049748,0.00001110757,0.000001209308,0.000002491234,0.0002796541,0.000001934101,0.00008557028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1592745,"threshold_uncertainty_score":0.3166949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302735640477916,"score_gpt":0.2254568720370694,"score_spread":0.2124295156322902,"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."}}