{"id":"W4402349131","doi":"10.1002/ecs2.4964","title":"From land to deep sea: A continuum of cumulative human impacts on marine habitats in Atlantic Canada","year":2024,"lang":"en","type":"article","venue":"Ecosphere","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Bedford Institute of Oceanography","funders":"Fisheries and Oceans Canada","keywords":"Habitat; Bioregion; Ecosystem; Marine habitats; Cumulative effects; Geography; Climate change; Marine spatial planning; Fishing; Marine protected area; Ecology; Marine ecosystem; Environmental science; Environmental resource management; Fishery; 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":[0.000395171,0.0001777324,0.0001499353,0.001274189,0.0008706283,0.001239124,0.0005506174,0.0001737987,0.00112689],"category_scores_gemma":[0.001602742,0.0001237814,0.000288183,0.002313931,0.0007039111,0.0002240914,0.0009394161,0.0002242485,0.00004873344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01372168,"about_ca_system_score_gemma":0.00874507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9893566,"about_ca_topic_score_gemma":0.9953567,"domain_scores_codex":[0.9996914,0.00003221094,0.00001979986,0.00005592015,0.0001034653,0.00009735094],"domain_scores_gemma":[0.9990127,0.0001586652,0.0001615426,0.00005320358,0.0004171924,0.0001967657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003151691,0.00000783918,0.9912646,0.00001844364,0.00005937082,0.00007236341,0.0004716798,0.002242611,0.0004007489,0.0001932008,0.000268527,0.004969073],"study_design_scores_gemma":[0.000001822155,0.000007357605,0.9942806,0.00001609499,0.00001788429,0.00002515937,0.002368498,0.002456431,0.0001084275,0.0001064563,0.0006016194,0.000009605657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996885,0.0001022082,0.0001700631,0.00008281254,0.000002006277,0.0000108324,0.001301925,0.00000702594,0.001438015],"genre_scores_gemma":[0.999307,0.00005758173,0.0001122542,0.00001484228,4.85774e-7,0.000003655141,0.0002745078,0.000001184846,0.0002283724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01372168,"threshold_uncertainty_score":0.09955823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005526486460448876,"score_gpt":0.2170756201623487,"score_spread":0.2115491337018998,"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."}}