{"id":"W7104444096","doi":"10.71781/19795","title":"Informations, intérêts, et consultations publiques : une analyse de l'impact des parties prenantes sur la réglementation canadienne","year":2022,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Public information; Success factors","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004804057,0.0004724693,0.0004103537,0.0007786994,0.009987122,0.0005644554,0.0003582887,0.0001782124,0.0004305356],"category_scores_gemma":[0.0004129223,0.0005307095,0.0003145051,0.001249635,0.0003912542,0.003722843,0.0002146229,0.0003684149,0.00003972572],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005521939,"about_ca_system_score_gemma":0.002396069,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4538838,"about_ca_topic_score_gemma":0.3339877,"domain_scores_codex":[0.9977233,0.000159823,0.0006351818,0.0004058824,0.0004982284,0.0005775519],"domain_scores_gemma":[0.9973673,0.0002341713,0.0008529137,0.0002593798,0.001169191,0.0001169998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004783261,0.0004410906,0.6063569,0.0009852631,0.001742303,0.0002582227,0.1228504,0.06684225,0.001055801,0.1778816,0.01130251,0.009805375],"study_design_scores_gemma":[0.0009572848,0.00004503616,0.6976939,0.0003359024,0.0006065393,0.0000789541,0.170412,0.01095414,0.000170187,0.00167923,0.116487,0.0005797673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9526528,0.01130137,0.0004451995,0.002381283,0.000561477,0.0005233216,0.0001517502,0.0001845481,0.0317983],"genre_scores_gemma":[0.9751593,0.00119431,0.000483186,0.0003774837,0.0001252123,0.0001463193,0.003275403,0.00003300684,0.01920571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1762023,"threshold_uncertainty_score":0.9997144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008392886018155705,"score_gpt":0.2091442322275785,"score_spread":0.2007513462094228,"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."}}