{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005609506,0.00009663507,0.0001251533,0.00001187313,0.00001992457,0.00001874767,0.0001039508,0.00001578006,0.006740957],"category_scores_gemma":[0.00001286021,0.00008211806,0.00002270333,0.0001618961,0.00001549401,0.00004812872,0.0007552991,0.00006909724,0.0002461636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002165611,"about_ca_system_score_gemma":0.00001419821,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9269348,"about_ca_topic_score_gemma":0.9970485,"domain_scores_codex":[0.9992854,0.00001557929,0.0001404145,0.0002158796,0.0001698652,0.0001728555],"domain_scores_gemma":[0.9997298,0.00004109758,0.00002048483,0.0001300468,0.00000240266,0.00007615519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007942888,0.0001489731,0.5335986,0.00008420581,0.00006648115,0.0004722205,0.001028805,0.003900434,0.0008788323,0.0002439626,0.376906,0.08259203],"study_design_scores_gemma":[0.00024647,0.0001079023,0.9772511,0.0000726614,0.000008835107,4.473557e-7,0.0000898541,0.001106994,0.0002064647,0.00269674,0.01807815,0.0001344556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8298517,0.00001237611,0.00001151568,0.0003773005,0.0000945937,0.0001565862,0.00001316004,0.00001217239,0.1694705],"genre_scores_gemma":[0.9957316,0.000001899627,0.00009284157,0.0001399383,0.00002993609,0.000007204851,0.00002060877,0.00000882421,0.003967161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4436525,"threshold_uncertainty_score":0.994167,"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."}}