{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004053145,0.00005149177,0.0001000163,0.00002627638,0.00007214511,0.000006755364,0.0002290972,0.00003703407,0.003522051],"category_scores_gemma":[0.0001329723,0.00004310346,0.000008643696,0.0001592506,0.0001153618,0.00006333172,0.0009580225,0.0001164689,0.000004061932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000669437,"about_ca_system_score_gemma":0.00002632966,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6161186,"about_ca_topic_score_gemma":0.9951394,"domain_scores_codex":[0.9992757,0.0001470729,0.0001198848,0.0001374445,0.0001596726,0.0001601781],"domain_scores_gemma":[0.9996119,0.0001892369,0.0000391502,0.0001278264,0.000006414035,0.00002550135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001001684,0.00003846443,0.9904258,0.000003411302,0.000001978137,0.000005616655,0.0001266309,0.00003853366,0.000002108176,0.0001226411,0.0007757078,0.00844914],"study_design_scores_gemma":[0.0001971127,0.00006399195,0.983448,3.261099e-7,0.000001797571,0.000001126362,0.00005404244,0.001674596,0.000001783794,0.0005142768,0.01399976,0.0000432268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.920875,2.116444e-7,0.00002587423,0.002044316,0.00002298742,0.0001032443,0.000003356261,0.000002209946,0.07692285],"genre_scores_gemma":[0.9992097,0.000003812604,0.00007774062,0.0002470713,0.000008734616,0.000007413178,0.00001379106,0.00000213163,0.0004296049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3790208,"threshold_uncertainty_score":0.9973888,"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."}}