{"id":"W4390933764","doi":"10.22541/essoar.170542252.20348236/v1","title":"The Past and Future of the Fisheries and Marine Ecosystem Model Intercomparison Project","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland","funders":"Fisheries and Oceans Canada; National Oceanic and Atmospheric Administration; Ocean Frontier Institute; National Research Foundation; Natural Sciences and Engineering Research Council of Canada; European Commission; Canada First Research Excellence Fund; National Science Foundation","keywords":"Climate change; Marine ecosystem; Environmental resource management; Fisheries management; Ecosystem; Fisheries science; Ecosystem services; Biodiversity; Environmental science; Coupled model intercomparison project; Ecosystem-based management; Ecosystem model; Climate model; Fishery; Ecology","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":[0.020713,0.0014177,0.0008001346,0.001664671,0.00121751,0.005616064,0.002443464,0.002220874,0.008013184],"category_scores_gemma":[0.02081208,0.0003118978,0.0008778626,0.002547598,0.001637586,0.007134211,0.005128094,0.003960007,0.003484848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002296534,"about_ca_system_score_gemma":0.01617467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01773878,"about_ca_topic_score_gemma":0.008608378,"domain_scores_codex":[0.9953189,0.002019286,0.0002680859,0.0003798684,0.001647061,0.0003666794],"domain_scores_gemma":[0.9871249,0.002163124,0.0006096344,0.001415971,0.006100139,0.002586171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003688819,0.0001616816,0.00682395,0.0004620342,0.0001598457,0.0001278192,0.0004482658,0.01382054,0.0006457423,0.07365593,0.5822089,0.3211164],"study_design_scores_gemma":[0.00008204328,0.00009439314,0.004101274,0.0006462238,0.00006170702,0.00005555054,0.0002958106,0.01130514,0.0005974405,0.04558299,0.9371068,0.00007066788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.03101804,0.0668333,0.08157618,0.4889643,0.05201194,0.0006670855,0.07577721,0.005836077,0.1973157],"genre_scores_gemma":[0.2440946,0.1005743,0.2870086,0.02594905,0.01275935,0.003105874,0.2360172,0.00585294,0.08463809],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.020713,"threshold_uncertainty_score":0.1095421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800142841398585,"score_gpt":0.2496730689517823,"score_spread":0.2316716405377965,"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."}}