{"id":"W4411555848","doi":"10.7202/1118417ar","title":"La transformation numérique de l’appareil gouvernemental québécois : quels enjeux pour l’archiviste ?1","year":2025,"lang":"fr","type":"article","venue":"Archives","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002070972,0.0007630505,0.0004958693,0.002858121,0.007117519,0.009056711,0.001868496,0.001542065,0.02816404],"category_scores_gemma":[0.005672422,0.0004039486,0.0005430523,0.004090486,0.007435977,0.004245317,0.003376011,0.001976822,0.002656043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05558151,"about_ca_system_score_gemma":0.04103894,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9253143,"about_ca_topic_score_gemma":0.9345124,"domain_scores_codex":[0.9971076,0.0005182299,0.00007914805,0.0003590107,0.00148203,0.0004540976],"domain_scores_gemma":[0.9967716,0.0004433108,0.000237666,0.0004349894,0.001668642,0.0004437349],"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":[0.000187636,0.00008765134,0.03309654,0.0005918949,0.00007030427,0.0006580064,0.02489313,0.008017894,0.004449554,0.5750274,0.09031063,0.2626093],"study_design_scores_gemma":[0.00002024277,0.00006040568,0.05959477,0.000964613,0.00003946494,0.0002788425,0.01972033,0.008787706,0.001996794,0.0389163,0.8694606,0.0001599872],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.208109,0.01245925,0.06202728,0.04718075,0.001434967,0.0003073013,0.003140838,0.001374955,0.6639656],"genre_scores_gemma":[0.6960618,0.005118526,0.03283435,0.001495577,0.0001786301,0.000214507,0.00127127,0.0005647644,0.2622606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07468569,"threshold_uncertainty_score":0.4032739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363833123589793,"score_gpt":0.2888646412675455,"score_spread":0.2752263100316475,"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."}}