{"id":"W4409541338","doi":"10.1139/cjfas-2024-0325","title":"Mobile bottom fishing in the Canadian Pacific and Atlantic causes disturbance and risk to remineralisation of seabed sediment carbon stocks","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Remineralisation; Oceanography; Sediment; Fishing; Seabed; Environmental science; Disturbance (geology); Fishery; Carbon cycle; Geology; Ecology; Ecosystem; Biology; Chemistry; Geomorphology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0002936364,0.0003276608,0.0001543211,0.0009758399,0.001081402,0.0007121646,0.000405488,0.0002884073,0.0009398825],"category_scores_gemma":[0.001253024,0.0001760622,0.0003769227,0.001303258,0.0006016108,0.0002745533,0.0006929236,0.000232283,0.00005172319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006129203,"about_ca_system_score_gemma":0.00630656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9533846,"about_ca_topic_score_gemma":0.9843166,"domain_scores_codex":[0.9996469,0.00002018459,0.00002078885,0.00004801822,0.0001710276,0.00009310155],"domain_scores_gemma":[0.9991548,0.00005646214,0.000359549,0.0000286976,0.0002392494,0.0001611721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004013468,0.00001216695,0.9891109,0.00002347494,0.00007285758,0.0001377835,0.0001929123,0.001237565,0.0008741396,0.0001492355,0.0002990324,0.007849854],"study_design_scores_gemma":[9.736625e-7,0.000006881534,0.998645,0.000006168019,0.00001376871,0.00002834909,0.0002622181,0.0007384695,0.00005704663,0.00002736435,0.000209478,0.000004169119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978244,0.0001728018,0.0001399102,0.0001198016,0.000002872971,0.000008408329,0.0003334322,0.000006047918,0.001392483],"genre_scores_gemma":[0.9989676,0.0001769138,0.000179885,0.00002549271,0.000001411836,0.000002376174,0.0002339803,0.000001568382,0.0004107728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04661542,"threshold_uncertainty_score":0.09377986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401941922189182,"score_gpt":0.2321348206424317,"score_spread":0.2181154014205398,"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."}}