{"id":"W7133281280","doi":"","title":"EPR – Lamproie du Nord (UD2)","year":2024,"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":"Poison control; Statistical analysis; Epibiont","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":[0.0005741653,0.0005113934,0.0002726772,0.0008625371,0.0008224408,0.001288721,0.000609879,0.0003646195,0.006864012],"category_scores_gemma":[0.0006492535,0.0002584101,0.0005222952,0.00103462,0.0003995996,0.0005618752,0.001162984,0.0003740475,0.002235552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003632204,"about_ca_system_score_gemma":0.004248586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1533451,"about_ca_topic_score_gemma":0.2715002,"domain_scores_codex":[0.9992422,0.00006550646,0.00003773638,0.0002337375,0.0002737734,0.000147063],"domain_scores_gemma":[0.9991775,0.00004743958,0.0001948424,0.00007313093,0.0004020438,0.0001050836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001800221,0.0001494258,0.4579584,0.00171145,0.0002909119,0.001458172,0.002619031,0.008310557,0.2566615,0.006062991,0.01322784,0.2497495],"study_design_scores_gemma":[0.00003811043,0.0006839072,0.5963866,0.0002244611,0.0001224627,0.0008138564,0.002489137,0.001379826,0.04162598,0.0005304592,0.3556353,0.00006983538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8618454,0.002643516,0.01099154,0.0002407036,0.000144751,0.0003436832,0.01028353,0.000689063,0.1128178],"genre_scores_gemma":[0.8935995,0.001706012,0.0116664,0.0002714923,0.00002284241,0.0002924765,0.009192156,0.0002589422,0.0829903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1533451,"threshold_uncertainty_score":0.3049051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009318710319808554,"score_gpt":0.2335647962703085,"score_spread":0.2242460859505,"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."}}