{"id":"W4235934855","doi":"10.7202/1043608ar","title":"TABLE DE LA JURISPRUDENCE","year":2015,"lang":"fr","type":"article","venue":"Revue du notariat","topic":"Comparative constitutional jurisprudence studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"China Scholarship Council","keywords":"Jurisprudence; Table (database); Political science; Law; Computer science; Data mining","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003786682,0.000749824,0.00126905,0.009785677,0.003628795,0.01144191,0.001144165,0.002056305,0.05757825],"category_scores_gemma":[0.01038684,0.0007135651,0.0008637827,0.01179751,0.003021972,0.003835028,0.0009159056,0.004649298,0.01095315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00939256,"about_ca_system_score_gemma":0.009054686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04017793,"about_ca_topic_score_gemma":0.02074495,"domain_scores_codex":[0.994292,0.002180993,0.0004310789,0.0005778902,0.002268304,0.0002496957],"domain_scores_gemma":[0.986577,0.009507522,0.0004883344,0.001086101,0.002129524,0.0002114781],"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":[0.0001204582,0.00003640922,0.0003824957,0.0006169198,0.0000379078,0.0001087205,0.000545002,0.0006457481,0.0004476487,0.8235583,0.1144795,0.0590208],"study_design_scores_gemma":[0.00002619878,0.00002074812,0.001202752,0.0004088323,0.00001376816,0.000107166,0.0001899548,0.0002195424,0.0003744868,0.02639782,0.9710203,0.00001839525],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007185681,0.06531869,0.009858024,0.01971383,0.005476393,0.0002208535,0.0173667,0.0006151804,0.8742448],"genre_scores_gemma":[0.2140534,0.1025038,0.0530848,0.008858932,0.007472112,0.001074914,0.02669896,0.001349868,0.5849032],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9424217,"threshold_uncertainty_score":0.1926184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05553571523766784,"score_gpt":0.3544230507346927,"score_spread":0.2988873354970249,"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."}}