{"id":"W3138360915","doi":"10.1093/icesjms/fsab007","title":"Pan-Arctic suitable habitat model for Greenland halibut","year":2021,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Pinngortitaleriffik; National Oceanic and Atmospheric Administration; U.S. Department of Commerce","keywords":"Halibut; Arctic; Oceanography; Habitat; Fishery; Environmental science; Commercial fishing; Fishing; Geography; Physical geography; Ecology; Geology; Fish <Actinopterygii>; 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":[0.000700808,0.0004165443,0.0004265509,0.0007713285,0.0005400514,0.0009660563,0.001246763,0.0004943887,0.00320366],"category_scores_gemma":[0.001293095,0.0002771047,0.0006319399,0.0007517428,0.000573991,0.0006166988,0.0006088699,0.00040535,0.0003155575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002316596,"about_ca_system_score_gemma":0.001088588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1624194,"about_ca_topic_score_gemma":0.1395563,"domain_scores_codex":[0.9997998,0.00006459224,0.000007717821,0.00006682229,0.00001264682,0.00004844112],"domain_scores_gemma":[0.9995744,0.0001559565,0.00007998218,0.00002915467,0.00007964118,0.00008091695],"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":[0.0001137137,0.00005053741,0.07443614,0.00002558914,0.00008516229,0.0002160949,0.0001254826,0.9139022,0.0006243702,0.005487375,0.001217441,0.003715969],"study_design_scores_gemma":[0.00002340479,0.00002177482,0.02133816,0.0000105772,0.00002033928,0.00005739615,0.0001216635,0.9750195,0.00005417957,0.002853242,0.0004678196,0.00001195309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744322,0.0001453407,0.02016396,0.0004319167,0.00002100719,0.00003607879,0.002018709,0.0001175987,0.002633236],"genre_scores_gemma":[0.9956414,0.00004870611,0.001749855,0.00004582555,0.0000050766,0.00004297074,0.0008530167,0.0000143808,0.001598706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1624194,"threshold_uncertainty_score":0.3229481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574659573634119,"score_gpt":0.28201503066281,"score_spread":0.2562684349264688,"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."}}