{"id":"W4414316572","doi":"10.1093/icesjms/fsag037","title":"A quantitative risk assessment approach for longline fishing gear impacts on seafloor habitats","year":2025,"lang":"en","type":"preprint","venue":"ICES Journal of Marine Science","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Fishing; Habitat; Marine habitats; Marine conservation; Marine protected area; Bottom trawling; Fisheries management; Bycatch","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":[0.006934155,0.001216555,0.0006183827,0.004428649,0.0004590619,0.002693887,0.001748685,0.0008024559,0.004062587],"category_scores_gemma":[0.01335854,0.0005528395,0.001527563,0.001532902,0.0007457266,0.00116029,0.001457018,0.001107526,0.0003262152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002195378,"about_ca_system_score_gemma":0.001928213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02284312,"about_ca_topic_score_gemma":0.01831939,"domain_scores_codex":[0.9973792,0.001432421,0.0001674369,0.0003590354,0.0005397936,0.0001222135],"domain_scores_gemma":[0.9906524,0.006190077,0.001417724,0.0002832154,0.001261215,0.0001953433],"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":[0.00004489128,0.000145249,0.02168485,0.0001234912,0.0004012492,0.0001588794,0.0002168329,0.912748,0.000970487,0.02418186,0.001528271,0.03779605],"study_design_scores_gemma":[0.000005265876,0.00003441533,0.002891596,0.00002740861,0.00002675067,0.00004692838,0.00009541251,0.9862468,0.0001094971,0.009847504,0.0006498123,0.00001857744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0430373,0.0002530254,0.9510561,0.0003220899,0.00002643812,0.0002004247,0.0008074907,0.0003207984,0.003976317],"genre_scores_gemma":[0.7654369,0.000205789,0.2299531,0.0001021821,0.00005153308,0.0004707557,0.0006166893,0.00005477461,0.003108246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02284312,"threshold_uncertainty_score":0.04542035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02819368545535663,"score_gpt":0.336223010242696,"score_spread":0.3080293247873394,"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."}}