{"id":"W7109209104","doi":"10.60825/b29c-4j75","title":"Indicateurs de suivi des communautés de poissons et d'invertébrés échantillonnées dans le relevé écosystémique annuel du nord du golfe du Saint-Laurent","year":2025,"lang":"fr","type":"report","venue":"Fisheries and Oceans Canada / Pêches et Océans Canada - Publications","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Environmental factor; Coastal ecosystem; Coastal zone; North sea; Coastal engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004813984,0.0002964878,0.0002595398,0.000729849,0.0005411624,0.0007807565,0.0001748912,0.0002115335,0.001336273],"category_scores_gemma":[0.0006897686,0.000150014,0.0003198921,0.0007377062,0.0003559724,0.0003124841,0.0003790874,0.0002422181,0.0001930106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034663,"about_ca_system_score_gemma":0.0005030727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06178088,"about_ca_topic_score_gemma":0.210119,"domain_scores_codex":[0.9997318,0.00003749687,0.00001113092,0.00009473866,0.00006991775,0.0000548929],"domain_scores_gemma":[0.9990256,0.0002151432,0.0003035027,0.00004737568,0.0003012365,0.0001072106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001335793,0.00001955328,0.9747816,0.00004943156,0.0001131914,0.00007981026,0.001106312,0.0003794417,0.01382202,0.0001117635,0.000117232,0.00928592],"study_design_scores_gemma":[6.488087e-7,0.00002312929,0.9988878,0.00000316872,0.000006190909,0.00002031993,0.0002249901,0.0001338004,0.0003236893,0.00001054189,0.0003632868,0.000002476705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9990363,0.0001288864,0.0001557278,0.000009837983,0.000002092292,0.000002266464,0.0001857956,0.000006164144,0.0004727664],"genre_scores_gemma":[0.9970123,0.0001639501,0.0005458611,0.00001457266,0.000005585037,0.00001411846,0.0003828703,0.000005828331,0.001854918],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9382191,"threshold_uncertainty_score":0.1228426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358696060175572,"score_gpt":0.2318758472868587,"score_spread":0.208288886685103,"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."}}