{"id":"W3002012729","doi":"","title":"Vers une régulation collaborative de protection des renseignements personnels","year":2020,"lang":"fr","type":"article","venue":"Lex Electronica","topic":"European Criminal Justice and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004246068,0.0001878625,0.0001659605,0.00004177576,0.0009941215,0.0001275961,0.0001931685,0.0001569654,0.000330731],"category_scores_gemma":[0.0003540664,0.0002198917,0.00006982748,0.001403123,0.0004144558,0.0006685681,0.00003766296,0.0004075013,0.0003762933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001087227,"about_ca_system_score_gemma":0.0007352562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005642708,"about_ca_topic_score_gemma":0.001786294,"domain_scores_codex":[0.9977059,0.0006674062,0.0002351407,0.0004098212,0.0003258543,0.0006558392],"domain_scores_gemma":[0.9992702,0.00004144646,0.000174589,0.0001282602,0.0001774098,0.0002081191],"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":[0.001782477,0.0004469627,0.0002113461,0.0008921004,0.000381063,0.00005041758,0.3220511,0.001884583,0.1092298,0.1209877,0.02252616,0.4195563],"study_design_scores_gemma":[0.001358114,0.004394116,0.001410241,0.0002476163,0.0006345921,0.00001165381,0.05335546,0.007341415,0.009954283,0.008313973,0.9121897,0.0007888239],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5888013,0.01613799,0.1146139,0.1499543,0.002965799,0.004677948,0.0001461698,0.0007982639,0.1219043],"genre_scores_gemma":[0.9922756,0.001619276,0.001089917,0.0008617418,0.00191565,0.00004435188,0.00002546667,0.00003104361,0.002136978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8896636,"threshold_uncertainty_score":0.8966923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05685081469894499,"score_gpt":0.2964640915243654,"score_spread":0.2396132768254204,"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."}}