{"id":"W3031730900","doi":"10.1002/aqc.3360","title":"Integrating fine‐scale seafloor mapping and spatial pattern metrics into marine conservation prioritization","year":2020,"lang":"en","type":"article","venue":"Aquatic Conservation Marine and Freshwater Ecosystems","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Marine spatial planning; Seascape; Marine protected area; Environmental resource management; Habitat; Spatial ecology; Biodiversity; Seafloor spreading; Geography; Benthic zone; Environmental science; Marine conservation; Ecology; Geology; Oceanography; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001700441,0.0005884394,0.0004485511,0.003692188,0.0003086637,0.001570042,0.0005428031,0.0002565745,0.001649458],"category_scores_gemma":[0.005075281,0.0002001938,0.0003584235,0.002276609,0.0002843685,0.0008849258,0.0009170295,0.000320771,0.0001840589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123767,"about_ca_system_score_gemma":0.001300219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02760878,"about_ca_topic_score_gemma":0.06062594,"domain_scores_codex":[0.9991628,0.0003051294,0.00005978005,0.0001593764,0.0002587376,0.0000542228],"domain_scores_gemma":[0.9971725,0.001352618,0.0004465306,0.0001918218,0.0006708346,0.00016577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001960126,0.0003431659,0.2448486,0.0002277616,0.0003995189,0.0001574889,0.0006804006,0.1454496,0.009540599,0.003893772,0.002627676,0.5916353],"study_design_scores_gemma":[0.00002434992,0.0001210069,0.08178043,0.00004457999,0.00006692683,0.000090769,0.0005666378,0.9058466,0.004385085,0.004263029,0.002760058,0.00005056336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.598225,0.0002495853,0.3894351,0.0004935116,0.00003371642,0.0003362,0.001296906,0.001652493,0.008277569],"genre_scores_gemma":[0.8005986,0.00005502322,0.198081,0.00003209822,0.000006576101,0.00007796622,0.0003066146,0.00004281014,0.0007994086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02760878,"threshold_uncertainty_score":0.05489618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02135317612476727,"score_gpt":0.2136035911608805,"score_spread":0.1922504150361132,"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."}}