{"id":"W4415007756","doi":"10.54932/axet1370","title":"Interopérabilité fédérale-provinciale des données et adoption de l’IA: Tirer parti de la dynamique fédérale-provinciale actuelle et du partenariat stratégique Canada-UE en matière d’IA","year":2025,"lang":"fr","type":"report","venue":"","topic":"European Socioeconomic and Political Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publics; Context (archaeology); Public sector","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":[0.02705947,0.0004660466,0.0007014909,0.006030243,0.009286157,0.02352672,0.002859268,0.001549257,0.00614115],"category_scores_gemma":[0.06047446,0.000856127,0.001090458,0.01286648,0.008432172,0.008003107,0.008543148,0.003613126,0.001046181],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.127801,"about_ca_system_score_gemma":0.1986088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9634711,"about_ca_topic_score_gemma":0.9494441,"domain_scores_codex":[0.9649512,0.007346777,0.001923101,0.003232462,0.01782486,0.004721686],"domain_scores_gemma":[0.9152059,0.01542436,0.003529291,0.006850552,0.05433431,0.004655643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002330995,0.0001120755,0.09421004,0.000685142,0.0002646681,0.000331231,0.03517976,0.01059241,0.003365165,0.6368164,0.03234428,0.1858657],"study_design_scores_gemma":[0.00006522643,0.0001088211,0.15693,0.001820416,0.0002105888,0.0002878003,0.03710572,0.01810865,0.003818728,0.05570329,0.7254889,0.000351894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2841291,0.007435081,0.08979713,0.1015735,0.0004966787,0.0008364625,0.006947091,0.00222015,0.5065648],"genre_scores_gemma":[0.9330102,0.002543282,0.0250598,0.001797995,0.0000800804,0.0001969019,0.002637992,0.000316301,0.03435752],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8721991,"threshold_uncertainty_score":0.9272653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02757689113765999,"score_gpt":0.2564350113825236,"score_spread":0.2288581202448636,"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."}}