{"id":"W2289511717","doi":"10.1016/j.pocean.2015.05.004","title":"How important are coastal fronts to albacore tuna (Thunnus alalunga) habitat in the Northeast Pacific Ocean?","year":2015,"lang":"en","type":"article","venue":"Progress In Oceanography","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"National Oceanic and Atmospheric Administration","keywords":"Albacore; Thunnus; Environmental science; Tuna; Catch per unit effort; Oceanography; Sea surface temperature; Chlorophyll a; Fishery; Geostrophic wind; Ocean color; Fishing; Climatology; Satellite; Geology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002524215,0.0001834411,0.0001692856,0.0007871313,0.0008274387,0.001489103,0.0002765616,0.0004522952,0.002919476],"category_scores_gemma":[0.000960104,0.0001557253,0.0001814451,0.0008100434,0.0009603968,0.001136919,0.000635349,0.0003452015,0.000245475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008913056,"about_ca_system_score_gemma":0.0006616319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08663533,"about_ca_topic_score_gemma":0.2732063,"domain_scores_codex":[0.9998776,0.00001768106,0.000006266702,0.00002156807,0.00001441265,0.00006242881],"domain_scores_gemma":[0.9992586,0.00007661828,0.0002571853,0.00002623661,0.0001182354,0.0002630439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001026553,0.00002545081,0.9828014,0.00004322625,0.00005500138,0.0001900084,0.0006176743,0.0001620069,0.001713837,0.0002885081,0.0003140606,0.01368619],"study_design_scores_gemma":[0.000001479953,0.00001002749,0.9968919,0.00001175633,0.00001906381,0.00004959193,0.002259331,0.00008328866,0.0000438969,0.0001112954,0.000516142,0.000002213555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963308,0.000510121,0.00005168984,0.000321494,0.00001161367,0.000001529197,0.0001068087,0.000001999406,0.002664073],"genre_scores_gemma":[0.998895,0.0005122442,0.00004605803,0.00007290431,0.00001016057,0.000001128181,0.00005432109,0.000001466002,0.0004068182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08663533,"threshold_uncertainty_score":0.1722621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015554214852649,"score_gpt":0.2505154006528498,"score_spread":0.2303598585043233,"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."}}