{"id":"W2055530304","doi":"10.7202/043006ar","title":"Une méthodologie automatisée de la logique juridique","year":2005,"lang":"fr","type":"article","venue":"Les Cahiers de droit","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; 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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004619496,0.0002971695,0.0003703235,0.00008994671,0.0007141904,0.0001821229,0.0007884451,0.001692727,0.001131702],"category_scores_gemma":[0.002307731,0.0003583029,0.0002376976,0.0007020579,0.006377676,0.0004043746,0.00006751491,0.00134947,0.0009867828],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003912357,"about_ca_system_score_gemma":0.001042784,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01110011,"about_ca_topic_score_gemma":0.009992548,"domain_scores_codex":[0.9949145,0.002551613,0.0005041662,0.0004605975,0.0003581638,0.001210977],"domain_scores_gemma":[0.9958523,0.003082391,0.000211666,0.0003712916,0.00008901453,0.0003933709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001417092,0.0001069522,0.0007279558,0.00002730974,0.00003574889,0.00009712233,0.01993174,0.002392058,0.000429361,0.7627186,0.005222078,0.208297],"study_design_scores_gemma":[0.00007997501,0.00008460997,0.001304189,0.00009458296,0.00006407429,0.00006234161,0.004294642,0.003467047,0.009008081,0.5127354,0.4683304,0.0004747047],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.492468,0.002699042,0.2547356,0.04024082,0.001116915,0.000405567,0.00003001556,0.0005468983,0.2077571],"genre_scores_gemma":[0.8522796,0.00209245,0.07924051,0.003351489,0.001841439,0.00004855858,0.000004692082,0.00005857864,0.06108265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4631083,"threshold_uncertainty_score":0.9999114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03913399668376621,"score_gpt":0.3467074827401502,"score_spread":0.307573486056384,"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."}}