{"id":"W2044449702","doi":"10.1111/maec.12163","title":"Spatio‐temporal variations in demersal fish assemblages and diversity in the northern Gulf of St. Lawrence (Canada)","year":2014,"lang":"en","type":"article","venue":"Marine Ecology","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Université du Québec à Rimouski","funders":"University of Warwick; United Nations Educational, Scientific and Cultural Organization","keywords":"Groundfish; Demersal zone; Demersal fish; Biomass (ecology); Trawling; Diversity index; Geography; Fishery; Context (archaeology); Species diversity; Ecology; Oceanography; Fishing; Environmental science; Fisheries management; Species richness; Biology; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002950927,0.0001622954,0.000176973,0.001157993,0.0009949844,0.0006815156,0.0004580823,0.0002231996,0.0009329035],"category_scores_gemma":[0.0005848912,0.0001696961,0.0001711717,0.00192127,0.0005240953,0.0002278935,0.0004987671,0.0002465716,0.0001447184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009093528,"about_ca_system_score_gemma":0.006972829,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9839135,"about_ca_topic_score_gemma":0.9950414,"domain_scores_codex":[0.9997972,0.00001499167,0.00001043852,0.00004365982,0.00005974868,0.00007400033],"domain_scores_gemma":[0.9989213,0.00005418262,0.0001967415,0.00002241847,0.0006272942,0.0001780892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007204232,0.00002153675,0.990842,0.00003371947,0.00004335104,0.0001151055,0.001231906,0.0002205052,0.0008929392,0.00006542005,0.0008022693,0.005659242],"study_design_scores_gemma":[0.000001117869,0.000003998871,0.9986317,0.000008427991,0.000004127122,0.00001199898,0.0007402429,0.000141965,0.00003652147,0.000005298724,0.0004118106,0.000002800947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980034,0.0001669377,0.00004036206,0.00006867167,0.000002822717,0.000005257691,0.0009932794,0.000004894158,0.0007143033],"genre_scores_gemma":[0.9980591,0.00013091,0.0001094909,0.00002352223,0.000001633648,0.000006129877,0.0007419646,0.000001723274,0.0009255319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01608652,"threshold_uncertainty_score":0.06597841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01173193216112656,"score_gpt":0.2143990110111582,"score_spread":0.2026670788500317,"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."}}