{"id":"W4251654352","doi":"10.7202/1043524ar","title":"TABLE DE LA JURISPRUDENCE","year":2016,"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; Philosophy; Political science; Computer science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.003676428,0.0007407692,0.00125598,0.009754714,0.003600049,0.01129749,0.00112035,0.001990306,0.05821703],"category_scores_gemma":[0.01031562,0.0006956729,0.0008543733,0.01183709,0.002926402,0.00377466,0.0008942105,0.004508553,0.01083019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009234871,"about_ca_system_score_gemma":0.008935734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04103154,"about_ca_topic_score_gemma":0.02122503,"domain_scores_codex":[0.9943147,0.002168762,0.0004244195,0.0005695355,0.002271902,0.0002505898],"domain_scores_gemma":[0.9867291,0.009399204,0.0004890673,0.001064461,0.002108091,0.0002099967],"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":[0.0001251681,0.00003744116,0.0004188463,0.0006262675,0.00003966366,0.000110967,0.0005621316,0.0006702038,0.0004593603,0.8218213,0.1141009,0.06102784],"study_design_scores_gemma":[0.00002694123,0.00002146308,0.001323395,0.000408548,0.00001428937,0.0001097424,0.0001993876,0.0002302485,0.0003856017,0.02639103,0.9708706,0.00001875904],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007561964,0.06105538,0.009777452,0.01859559,0.005129374,0.0002237038,0.01815641,0.0006119407,0.8788881],"genre_scores_gemma":[0.2224419,0.09788315,0.05335677,0.008321241,0.0070388,0.001072509,0.02779952,0.001345917,0.5807402],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05821703,"threshold_uncertainty_score":0.1947553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02229154741963731,"score_gpt":0.3221360226563859,"score_spread":0.2998444752367486,"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."}}