{"id":"W2600797322","doi":"10.7202/1045704ar","title":"NOTIONS NOUVELLES POUR ENCADRER L’INFORMATION À L’ÈRE DU NUMÉRIQUE : L’APPROCHE DE LA LOI CONCERNANT LE CADRE JURIDIQUE DES TECHNOLOGIES DE L’INFORMATION","year":2004,"lang":"fr","type":"article","venue":"Revue du notariat","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001618541,0.0003629695,0.0003553561,0.0001925009,0.001454077,0.0003651335,0.0007410411,0.001042177,0.0001761784],"category_scores_gemma":[0.002627064,0.0003959927,0.0002248534,0.0007747116,0.002031349,0.004167268,0.0001740401,0.0006977975,0.0008271291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001835417,"about_ca_system_score_gemma":0.004650394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01765916,"about_ca_topic_score_gemma":0.004220414,"domain_scores_codex":[0.9973491,0.0003018191,0.0008458472,0.0002620173,0.0003350254,0.0009061727],"domain_scores_gemma":[0.9979728,0.0004790905,0.0005164312,0.0003538092,0.0004936044,0.0001842005],"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":[0.00002485462,0.0001771845,0.001430127,0.0001867472,0.00004421537,0.00001666402,0.1538704,0.02323017,0.0004151724,0.7982154,0.002215202,0.02017383],"study_design_scores_gemma":[0.0004217017,0.0001037919,0.0005833564,0.0006376613,0.00006231018,0.0002007834,0.1624088,0.004775747,0.02359003,0.105628,0.700847,0.0007407708],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3215128,0.001976669,0.5146909,0.1137682,0.001754023,0.001388183,0.0001832707,0.0009697102,0.04375619],"genre_scores_gemma":[0.9780392,0.007439895,0.01270385,0.0003000094,0.0006682002,0.0001291863,0.00004795737,0.00002691987,0.0006447555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6986318,"threshold_uncertainty_score":0.9999508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01632278124913366,"score_gpt":0.2648419001411339,"score_spread":0.2485191188920002,"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."}}