{"id":"W7133274202","doi":"","title":"Northern shrimp in Gulf of St. Lawrence","year":2022,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fisheries and Oceans Canada","keywords":"Trawling; Shrimp; Fishing; Catch per unit effort; Estuary; Stock assessment; Abundance (ecology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001512443,0.0001663167,0.00009173905,0.0006867255,0.0004229734,0.0006052635,0.000249593,0.0001267772,0.003497791],"category_scores_gemma":[0.0003236922,0.00009225331,0.0001380793,0.0009437015,0.0001299604,0.0002353612,0.0003307838,0.000204403,0.001019472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002081583,"about_ca_system_score_gemma":0.001993264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5631897,"about_ca_topic_score_gemma":0.8395466,"domain_scores_codex":[0.9999015,0.000004220519,0.000007880818,0.00001874825,0.00004325369,0.00002437033],"domain_scores_gemma":[0.9997583,0.000009239573,0.00005149805,0.000005259727,0.0001504777,0.00002518472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008264175,0.00004013561,0.923908,0.0001188511,0.0000527029,0.0003312678,0.0005962194,0.0005516735,0.0006661443,0.0008696881,0.02508525,0.04769751],"study_design_scores_gemma":[0.000006480207,0.00002742329,0.9651896,0.00008191878,0.00001774205,0.00009854517,0.001537695,0.0007209324,0.0003168696,0.0001156103,0.03187849,0.000008761393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8980821,0.0009376926,0.00037463,0.0006905394,0.00009572202,0.00002885841,0.02490478,0.0001909719,0.07469472],"genre_scores_gemma":[0.9144902,0.001200564,0.0009285365,0.0002444459,0.00002525033,0.00003404705,0.02107285,0.000018819,0.06198523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4368103,"threshold_uncertainty_score":0.8787655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008994519432737423,"score_gpt":0.2305962399815326,"score_spread":0.2216017205487952,"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."}}