{"id":"W2909055977","doi":"10.1139/cjfas-2018-0243","title":"A seascape-scale habitat model to support management of fishing impacts on benthic ecosystems","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seascape; Fishing; Habitat; Fishery; Marine protected area; Environmental science; Fisheries management; Marine ecosystem; Benthic zone; Marine spatial planning; Ecosystem; Ecosystem management; Disturbance (geology); Ecosystem-based management; Environmental resource management; Ecology; Geography; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004368076,0.0005103851,0.0004595656,0.0005700121,0.0005214114,0.0009838425,0.001744334,0.001188251,0.006865387],"category_scores_gemma":[0.001386021,0.0005795504,0.0008778438,0.0007716336,0.0005268797,0.001026065,0.0009875764,0.00087774,0.0005473723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538702,"about_ca_system_score_gemma":0.00169055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05901417,"about_ca_topic_score_gemma":0.06551208,"domain_scores_codex":[0.9998685,0.00003625056,0.000009061906,0.00003630232,0.00001919769,0.00003061729],"domain_scores_gemma":[0.9995834,0.000160688,0.00005822282,0.00002784109,0.00009928311,0.0000705385],"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":[0.0000113112,0.00001875982,0.002109624,0.000008279807,0.0000175438,0.00003189577,0.00001153892,0.9946678,0.0001320016,0.001522858,0.0003107766,0.001157621],"study_design_scores_gemma":[0.00001001037,0.000007221046,0.000436205,0.000003279366,0.000007404996,0.000008043069,0.00001115208,0.9983895,0.00003179967,0.0007544691,0.0003367704,0.000004194066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6254634,0.0003146469,0.3262018,0.001291064,0.0001606535,0.000210056,0.006407048,0.00115472,0.0387964],"genre_scores_gemma":[0.9505932,0.0001873194,0.03911354,0.0001513664,0.00003040643,0.0002412978,0.001327053,0.0001114899,0.008244318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05901417,"threshold_uncertainty_score":0.1173413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02429209369122986,"score_gpt":0.2436696459932992,"score_spread":0.2193775523020693,"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."}}