{"id":"W2598851441","doi":"","title":"Les expériences africaines de la diffusion libre du droit sur le Web : bilan et perspectives","year":2008,"lang":"fr","type":"article","venue":"Lex Electronica","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","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":[0.004777396,0.0004878608,0.0004793854,0.002003352,0.01751132,0.0146634,0.0009224306,0.002776719,0.007303314],"category_scores_gemma":[0.005880305,0.0004589673,0.0002227196,0.003228087,0.01284029,0.0124285,0.007703352,0.004543316,0.001200203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008523094,"about_ca_system_score_gemma":0.005683543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04030697,"about_ca_topic_score_gemma":0.043535,"domain_scores_codex":[0.9959291,0.002622485,0.0001094616,0.0002021297,0.0004233695,0.0007135249],"domain_scores_gemma":[0.9959993,0.002377008,0.0003205667,0.0001476876,0.0004974077,0.0006580796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002431458,0.00003455034,0.001793674,0.0001132578,0.00000317249,0.001057683,0.9613284,0.0000319539,0.0004165007,0.02509307,0.001800825,0.008302534],"study_design_scores_gemma":[0.000003596792,0.00001871171,0.001416686,0.0002376954,0.000003454993,0.0004139682,0.8611559,0.00004753563,0.0002056105,0.001920484,0.1345596,0.00001677364],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7658123,0.008830111,0.001576605,0.03948155,0.0002893443,0.0000657338,0.0001053079,0.00004551341,0.1837936],"genre_scores_gemma":[0.9621873,0.005549547,0.0003716428,0.002547618,0.00005239549,0.0000557208,0.00004055843,0.00005170986,0.02914336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04030697,"threshold_uncertainty_score":0.08014476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02979580451106945,"score_gpt":0.307920368623379,"score_spread":0.2781245641123096,"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."}}