{"id":"W3049067255","doi":"10.3389/fmars.2020.567877","title":"Advancing Global Ecological Modeling Capabilities to Simulate Future Trajectories of Change in Marine Ecosystems","year":2020,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Dalhousie University; Canmore Museum and Geoscience Centre","funders":"Consejo Superior de Investigaciones Científicas; Natural Sciences and Engineering Research Council of Canada; Jarislowsky Foundation; Bundesministerium für Bildung und Forschung; European Commission","keywords":"Environmental science; Marine ecosystem; Ecosystem; Ecosystem model; Environmental resource management; Ecology; Oceanography; Geology; Biology","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":[0.00130557,0.0008055442,0.0003729201,0.0005995441,0.000408393,0.001201979,0.001070265,0.0007412537,0.003184442],"category_scores_gemma":[0.003510002,0.0005019191,0.001308124,0.001043431,0.0003002265,0.001891294,0.001406306,0.001424909,0.0004540767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009798066,"about_ca_system_score_gemma":0.001250582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04529969,"about_ca_topic_score_gemma":0.03846345,"domain_scores_codex":[0.999728,0.00009492551,0.00002364447,0.00004862759,0.00008022236,0.00002455047],"domain_scores_gemma":[0.9990783,0.0003316432,0.0001002644,0.0002292107,0.0001931481,0.00006742883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002030769,0.00002880374,0.006499487,0.00003913406,0.0000954205,0.00003047296,0.00005932466,0.9728832,0.0009139866,0.007184547,0.002650741,0.009594611],"study_design_scores_gemma":[0.00003153232,0.00001742405,0.002625747,0.00002569223,0.00003873987,0.00001710512,0.0000460161,0.9797598,0.0004538419,0.006651924,0.01030486,0.0000273152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4518209,0.001222755,0.4422884,0.006009193,0.0009246665,0.0003347937,0.02090382,0.007079205,0.06941621],"genre_scores_gemma":[0.8032504,0.001251554,0.179113,0.0005345687,0.0001614426,0.0004044028,0.01028415,0.001028552,0.003971864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04529969,"threshold_uncertainty_score":0.09007204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027501775679937,"score_gpt":0.261706197831829,"score_spread":0.2414311800750296,"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."}}