{"id":"W2342044936","doi":"","title":"Louisiana's Civil-Law Notaries","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Legal Systems and Judicial Processes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sanctions; Law; Political science; Civil law (Civil law); Legislation; Expansive; Estate; Business; Public law","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":[0.001295051,0.0002019305,0.0001644788,0.0007154049,0.009552431,0.003577322,0.0006993951,0.001633986,0.01490516],"category_scores_gemma":[0.002793816,0.0002514453,0.0002286828,0.0005223358,0.002317742,0.001144761,0.001854325,0.003147382,0.001323206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01197647,"about_ca_system_score_gemma":0.02774179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3872467,"about_ca_topic_score_gemma":0.6420722,"domain_scores_codex":[0.9988176,0.0001529224,0.00005101811,0.0001651864,0.0003368923,0.0004764537],"domain_scores_gemma":[0.9967519,0.0008105474,0.0002883492,0.0002045615,0.001364191,0.0005803949],"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":[0.00007135945,0.0001716225,0.03496239,0.0001586906,0.00002841614,0.001544932,0.01220223,0.0005445279,0.003471627,0.6367601,0.1897182,0.1203658],"study_design_scores_gemma":[0.000008073863,0.00003946359,0.02168701,0.00009018723,0.000010912,0.0001561661,0.001868905,0.0003928451,0.0006421545,0.003853835,0.9712178,0.00003278955],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2008841,0.003302937,0.002314298,0.04781257,0.0005779628,0.0002376281,0.001141104,0.0003548906,0.7433746],"genre_scores_gemma":[0.4030039,0.001374577,0.001531947,0.007952442,0.0001147884,0.00007631657,0.0003116693,0.00003876786,0.5855957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3872467,"threshold_uncertainty_score":0.7699853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0207853263931387,"score_gpt":0.287352074249548,"score_spread":0.2665667478564093,"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."}}