{"id":"W6947892230","doi":"10.4224/21274849","title":"Conseil national de recherches du Canada : vérification des frais d'accueil pour l'exercice 2007-2008 : vérification interne, CNRC","year":2009,"lang":"fr","type":"report","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Privy Council Office","funders":"","keywords":"Context (archaeology); Legislation; Public health; Poison control","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03047802,0.0009177222,0.000890019,0.002758307,0.005367398,0.004767381,0.002700042,0.002053007,0.01030703],"category_scores_gemma":[0.05682139,0.0008231335,0.001144767,0.001675229,0.002975887,0.002200915,0.002010024,0.002708882,0.003574984],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03880301,"about_ca_system_score_gemma":0.140632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8833961,"about_ca_topic_score_gemma":0.8756325,"domain_scores_codex":[0.9631389,0.004342772,0.001066298,0.002903443,0.02514771,0.003400846],"domain_scores_gemma":[0.9129482,0.01044103,0.0020876,0.005824508,0.06590516,0.002793512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002190424,0.0004765636,0.05520377,0.0006933893,0.0002680335,0.001028752,0.00378649,0.02506671,0.02477619,0.1433967,0.4507973,0.2923157],"study_design_scores_gemma":[0.0006331379,0.0007325152,0.0431285,0.0007358347,0.0002649384,0.000616478,0.002566526,0.08184008,0.09554078,0.01373316,0.7596791,0.0005290752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2021109,0.007228481,0.3970234,0.05566218,0.00538234,0.004523903,0.02907394,0.02385864,0.2751363],"genre_scores_gemma":[0.5464074,0.002276735,0.2654172,0.00482206,0.0003743333,0.001225497,0.01567429,0.002076521,0.161726],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.961197,"threshold_uncertainty_score":0.2815369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.191735345825417,"score_gpt":0.3471226145793683,"score_spread":0.1553872687539513,"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."}}