{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.001086853,0.0003169774,0.0003595467,0.0000965494,0.001708371,0.0001721056,0.0008218747,0.000398921,0.001028909],"category_scores_gemma":[0.0007606885,0.0003262735,0.0002400513,0.0008908264,0.004018413,0.0007409099,0.0001446405,0.000669018,0.000150669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006497258,"about_ca_system_score_gemma":0.002489575,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02697929,"about_ca_topic_score_gemma":0.01573301,"domain_scores_codex":[0.9959862,0.001217459,0.0003939481,0.0006390019,0.0005553461,0.001208096],"domain_scores_gemma":[0.997934,0.001139845,0.0001997362,0.0003167207,0.0001721411,0.0002374924],"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":[0.00004797702,0.0007890366,0.008059103,0.00001350753,0.00004359607,0.00005160257,0.1258902,0.0001336671,0.004914605,0.8427551,0.00758063,0.009720976],"study_design_scores_gemma":[0.0002878098,0.0005989264,0.005062057,0.0001098662,0.00005140667,0.00010985,0.05122549,0.002832629,0.003790608,0.081372,0.8536867,0.0008726322],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8089985,0.01564553,0.0004471854,0.02158689,0.0005408308,0.0002517079,0.00000762662,0.000221887,0.1522999],"genre_scores_gemma":[0.9615822,0.01445175,0.0003436582,0.0001993467,0.001496765,0.00003583305,0.000002685884,0.00004333203,0.02184443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8461061,"threshold_uncertainty_score":0.9999189,"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."}}