{"id":"W4319778718","doi":"10.17118/11143/19034","title":"La question du droit dans la transformation numérique des administrations publiques","year":2019,"lang":"fr","type":"article","venue":"Revue de droit Université de Sherbrooke","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01923923,0.0006521944,0.001125937,0.003517754,0.003050292,0.0236471,0.003729333,0.00280609,0.01806886],"category_scores_gemma":[0.092006,0.001105389,0.001652168,0.005777978,0.01103976,0.02752953,0.005866837,0.004438544,0.005449559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01168743,"about_ca_system_score_gemma":0.01280931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03923314,"about_ca_topic_score_gemma":0.02314861,"domain_scores_codex":[0.9736646,0.01199089,0.001512978,0.00361559,0.008199886,0.001016137],"domain_scores_gemma":[0.957895,0.02314213,0.002784784,0.008631505,0.006666797,0.0008799569],"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":[0.00005585132,0.0000312437,0.002182384,0.0001522597,0.00001894766,0.00003756281,0.003120702,0.00292314,0.0002415279,0.9191396,0.003522654,0.06857412],"study_design_scores_gemma":[0.0000758398,0.00007299078,0.003880237,0.000642841,0.00003386355,0.0002373392,0.005578752,0.02263174,0.001464252,0.6546786,0.3106263,0.00007726632],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06782065,0.006852571,0.5880646,0.06658508,0.001633612,0.0003116366,0.001444178,0.002031615,0.2652561],"genre_scores_gemma":[0.5832392,0.004843557,0.311471,0.002416272,0.001097289,0.0007210918,0.00109681,0.001545058,0.09356967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03923314,"threshold_uncertainty_score":0.101748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007842956783967315,"score_gpt":0.2313189374478808,"score_spread":0.2234759806639135,"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."}}