{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002054033,0.0002259717,0.000349695,0.00005977785,0.0005542954,0.0001590739,0.0004791114,0.0002121357,0.0002958919],"category_scores_gemma":[0.002014494,0.0002567175,0.0001109413,0.0007492248,0.001970165,0.0005434876,0.0002230999,0.0003873842,0.001443676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000788898,"about_ca_system_score_gemma":0.002111029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006320843,"about_ca_topic_score_gemma":0.002022798,"domain_scores_codex":[0.9974149,0.0008499064,0.0002929306,0.0003833361,0.0004480933,0.0006107626],"domain_scores_gemma":[0.998062,0.0007671628,0.0001441171,0.0002376609,0.0004084869,0.0003806301],"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":[0.00002425058,0.0001722681,0.05261225,0.00003820267,0.00006467108,0.0001152658,0.02113909,0.001120825,0.00003886847,0.8384383,0.08426367,0.001972343],"study_design_scores_gemma":[0.0003328432,0.00005190766,0.007107123,0.0002216583,0.00007921427,0.00005363546,0.003822753,0.0007508467,0.00003780185,0.02058773,0.9666429,0.000311644],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2191213,0.08134083,0.01303505,0.1177557,0.01337505,0.0007620872,0.0001033712,0.0002565856,0.5542501],"genre_scores_gemma":[0.958066,0.00271379,0.002951515,0.0003386797,0.003132995,0.00003681745,0.000003045504,0.00001518137,0.03274198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8823792,"threshold_uncertainty_score":0.9999885,"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."}}