{"id":"W3205141550","doi":"10.7202/1082365ar","title":"À LA RECHERCHE DU BON TEMPS PERDU : LA TARIFICATION DES SERVICES NOTARIAUX AU QUÉBEC","year":2020,"lang":"fr","type":"article","venue":"Revue du notariat","topic":"Cultural and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Ottawa","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001813303,0.0003352693,0.0004923136,0.0000229061,0.001768381,0.0002374642,0.0004959406,0.0007749173,0.0003149711],"category_scores_gemma":[0.001867921,0.0003164154,0.0002748535,0.0007899388,0.0008724828,0.0005760774,0.0001889084,0.0007484452,0.0005011747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00164787,"about_ca_system_score_gemma":0.0008360123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6224685,"about_ca_topic_score_gemma":0.6165685,"domain_scores_codex":[0.9959078,0.002257906,0.0004372139,0.0005357249,0.0003236792,0.0005376827],"domain_scores_gemma":[0.9973208,0.001691074,0.000243479,0.0001715575,0.0002600312,0.000313056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005678851,0.0001660751,0.05372737,0.0005232345,0.00016134,0.00002805537,0.7976881,0.00003885272,0.0002764255,0.05012799,0.002090558,0.09511515],"study_design_scores_gemma":[0.000325868,0.00007288683,0.04889299,0.0001894208,0.0002076512,0.000007182405,0.06105213,0.0004036421,0.00002417823,0.001962209,0.8864363,0.0004255345],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6360927,0.008332718,0.00009314718,0.3114836,0.001045509,0.0003971499,0.0000365368,0.0001784656,0.04234017],"genre_scores_gemma":[0.9755192,0.008909881,0.001127216,0.001198535,0.005472097,0.00004386357,0.00002550908,0.00003581215,0.007667828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8843458,"threshold_uncertainty_score":0.9999288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3117117864471928,"score_gpt":0.3494136645537153,"score_spread":0.03770187810652254,"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."}}