{"id":"W7133272176","doi":"","title":"Délimitation des unités d'évaluation des stocks de crevette nordique de l'estuaire et du nord du golfe du Saint-Laurent","year":2023,"lang":"fr","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":"","keywords":"Stock (firearms); Coastal zone; Pilotage; Western europe","routes":{"ca_aff":false,"ca_fund":false,"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":[0.003815995,0.0005785148,0.0006748642,0.005242466,0.001206229,0.002095494,0.001192908,0.0004694123,0.004586895],"category_scores_gemma":[0.005564268,0.0002543188,0.0006797428,0.005771637,0.0005999451,0.0005161603,0.001177417,0.0004443151,0.00100384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006777659,"about_ca_system_score_gemma":0.009212725,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4180765,"about_ca_topic_score_gemma":0.6723521,"domain_scores_codex":[0.9971896,0.0004749015,0.0002381984,0.0003375617,0.001330417,0.0004293456],"domain_scores_gemma":[0.9912861,0.000942803,0.0009605899,0.0003746304,0.006056054,0.0003798014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007675672,0.0001737801,0.74659,0.0005154301,0.0003179818,0.0002869071,0.003235456,0.009863628,0.01284297,0.004074248,0.00509013,0.2162419],"study_design_scores_gemma":[0.00002809803,0.0001735851,0.9721751,0.0002009184,0.00007931921,0.00004257998,0.002074938,0.002906066,0.00646233,0.0003795246,0.01543065,0.00004698822],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9192457,0.001989656,0.01547985,0.0003833013,0.00009552817,0.001194093,0.00890131,0.0002562556,0.05245421],"genre_scores_gemma":[0.8769138,0.000969805,0.05963605,0.0001186517,0.00003667095,0.001255821,0.01096031,0.0001537151,0.04995512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5819235,"threshold_uncertainty_score":0.831286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02269989939661706,"score_gpt":0.2655303653497872,"score_spread":0.2428304659531701,"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."}}