{"id":"W4410456896","doi":"10.3917/dpo.008.0013","title":"Protection des données et sanction : une nécessaire quête d’effectivité","year":2020,"lang":"fr","type":"article","venue":"DPO news","topic":"Criminal Law and Evidence","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":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004577739,0.0001886083,0.0002232387,0.00002723631,0.0008693408,0.0002157291,0.0001700977,0.000179169,0.0003247046],"category_scores_gemma":[0.0003520294,0.0001900663,0.0001373375,0.0008690807,0.0006407803,0.0009581114,0.00005259784,0.0003071575,0.0005570612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001501469,"about_ca_system_score_gemma":0.0001416212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06604287,"about_ca_topic_score_gemma":0.06172058,"domain_scores_codex":[0.998095,0.0005689854,0.0002182402,0.0004068353,0.0003394653,0.0003714183],"domain_scores_gemma":[0.9993191,0.0001177447,0.0001317989,0.000130783,0.00008040515,0.0002201387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002671873,0.0001991468,0.003928221,0.0009468208,0.00004840483,0.00003302403,0.07371914,0.0003181629,0.005334834,0.04793832,0.01733527,0.8499315],"study_design_scores_gemma":[0.0002566213,0.0005569611,0.008850253,0.0003876475,0.00008944439,0.000008165354,0.006572264,0.0005809001,0.001405411,0.007210219,0.9737529,0.0003291917],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.570078,0.005999747,0.008889031,0.3821648,0.002527272,0.0009600932,0.00001125595,0.0002862999,0.02908358],"genre_scores_gemma":[0.9927456,0.001140753,0.0002135649,0.001471448,0.001349211,0.00005604759,0.000002857925,0.00001842425,0.00300207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9564176,"threshold_uncertainty_score":0.9554006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.159867080824074,"score_gpt":0.3275135227870314,"score_spread":0.1676464419629575,"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."}}