{"id":"W7066823149","doi":"","title":"Justice réparatrice et médiation pénale : convergences ou divergences ?","year":2003,"lang":"fr","type":"article","venue":"","topic":"Legal Systems and Institutions","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic Justice; Context (archaeology); Field (mathematics); Subject (documents); Relation (database)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008146772,0.000356709,0.0008405164,0.006137048,0.005585619,0.01182907,0.001193957,0.001705385,0.00445477],"category_scores_gemma":[0.02407793,0.0002262084,0.000335014,0.01117799,0.01356749,0.00435601,0.004447432,0.003595418,0.0002507305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03762587,"about_ca_system_score_gemma":0.039238,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7594837,"about_ca_topic_score_gemma":0.8104533,"domain_scores_codex":[0.9932667,0.002035895,0.000308179,0.0006216583,0.001827426,0.00194013],"domain_scores_gemma":[0.9821435,0.006286478,0.001968317,0.0008126386,0.006961773,0.001827358],"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":[0.0002828243,0.0001793206,0.1809884,0.0003218774,0.0001638382,0.0004501831,0.1140465,0.001139637,0.00037943,0.45515,0.02157598,0.225322],"study_design_scores_gemma":[0.00002302724,0.00008192247,0.7463297,0.001242615,0.00009324397,0.000304586,0.09259284,0.001278591,0.0003164076,0.02380242,0.1338086,0.0001261306],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6254985,0.06621218,0.002111199,0.07145754,0.0006668872,0.00006141705,0.0006433798,0.00003647487,0.2333124],"genre_scores_gemma":[0.98685,0.004434747,0.0003483137,0.0009965267,0.000134921,0.00002221385,0.0001146424,0.00001832165,0.007080379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7594837,"threshold_uncertainty_score":0.4838655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05596163742791579,"score_gpt":0.2831507774340628,"score_spread":0.227189140006147,"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."}}