{"id":"W2804965034","doi":"10.1371/journal.pone.0196127","title":"Projecting shifts in thermal habitat for 686 species on the North American continental shelf","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":318,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Science; National Oceanic and Atmospheric Administration; Cooperative Institute for the North Atlantic Region; Atlantic States Marine Fisheries Commission; National Foundation for Science and Technology Development; National Science Foundation; Pew Charitable Trusts; Fogarty International Center; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Department of Energy","keywords":"Habitat; Continental shelf; Species distribution; Ecology; Climate change; Marine habitats; Greenhouse gas; Oceanography; Representative Concentration Pathways; Environmental science; Distribution (mathematics); Geography; Climate model; Biology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001815244,0.00008180047,0.0001128182,0.00002178194,0.0001399666,0.00003877582,0.0002296015,0.00001296027,0.001637781],"category_scores_gemma":[0.0001622838,0.00005512259,0.00002634669,0.0002385273,0.0004533184,0.00008020732,0.0001822197,0.0001271475,0.0001519191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006504859,"about_ca_system_score_gemma":0.000006281496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006122111,"about_ca_topic_score_gemma":0.006326857,"domain_scores_codex":[0.9990506,0.00003975803,0.0001114896,0.0001954396,0.0003050141,0.000297726],"domain_scores_gemma":[0.9995904,0.0001446766,0.00003905311,0.0001786495,0.000009590339,0.00003762537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001367904,0.0003746469,0.9855593,0.000006597248,0.00001522441,0.000001616772,0.0006549378,6.236209e-7,0.004617312,0.00002786828,0.000516877,0.008088144],"study_design_scores_gemma":[0.000203544,0.0005338812,0.9920346,0.000008977245,0.000004844335,1.305928e-7,0.0003869947,0.000576904,0.003519504,0.00001889857,0.002610445,0.0001012882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8803937,5.205202e-7,0.000002602792,0.001456306,0.0000112727,0.0004488643,0.000005930397,0.00001485531,0.117666],"genre_scores_gemma":[0.9973139,0.000003207381,0.0004610867,0.0004342746,0.0001166671,0.00009657432,0.000003407317,0.00001219886,0.001558701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1169202,"threshold_uncertainty_score":0.9992748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05293774824034424,"score_gpt":0.2443851669905242,"score_spread":0.19144741875018,"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."}}