{"id":"W2889867882","doi":"10.3389/fmars.2018.00337","title":"Ocean Solutions to Address Climate Change and Its Effects on Marine Ecosystems","year":2018,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":445,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Fonds Français pour l'Environnement Mondial; King Abdullah University of Science and Technology; Agence Nationale de la Recherche; Deutsche Forschungsgemeinschaft; Centre National de la Recherche Scientifique; Agence Française de Développement; International Atomic Energy Agency; European Commission; National Science Foundation; Nature Conservancy; Prince Albert II of Monaco Foundation; Global Environment Facility; Bundesministerium für Umwelt, Naturschutz, Bau und Reaktorsicherheit","keywords":"Climate change; Marine ecosystem; Oceanography; Ecosystem; Environmental science; Ocean acidification; Climatology; Environmental resource management; Ecology; 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":[0.005149959,0.001067859,0.0003910878,0.001434974,0.001491228,0.004857373,0.001224997,0.002023645,0.010009],"category_scores_gemma":[0.005205589,0.0001663078,0.000542186,0.001839292,0.001524726,0.002476161,0.008562973,0.002058497,0.001326377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002922868,"about_ca_system_score_gemma":0.01055593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00421593,"about_ca_topic_score_gemma":0.01116601,"domain_scores_codex":[0.9975344,0.001061557,0.0001271923,0.0001454446,0.0007331772,0.0003981132],"domain_scores_gemma":[0.9985015,0.0002567935,0.0002954681,0.0002217842,0.0004034424,0.0003210672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001322611,0.0002091245,0.007279605,0.002184538,0.0002065715,0.0002709074,0.001596996,0.01488053,0.003941193,0.4025665,0.05824338,0.5084883],"study_design_scores_gemma":[0.00005064701,0.0003102711,0.007296341,0.00171796,0.0001092891,0.0001467998,0.005017285,0.002956903,0.003288167,0.1371703,0.8418824,0.00005362875],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06996302,0.07002281,0.100156,0.1352274,0.005407759,0.001165614,0.002256234,0.001417868,0.6143833],"genre_scores_gemma":[0.683562,0.06188489,0.1523894,0.01666277,0.000928474,0.001151939,0.001371021,0.0003110172,0.08173838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.010009,"threshold_uncertainty_score":0.03348339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372295964869372,"score_gpt":0.2229712219321333,"score_spread":0.2092482622834396,"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."}}