{"id":"W7039396129","doi":"","title":"Les attitudes des Québécois et Québécoises envers les différentes approches linguistiques en publicité au Québec","year":2021,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sociolinguistics; Publics; Ligne; Context (archaeology)","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001941932,0.0008995627,0.0008989605,0.0009982638,0.01534736,0.001175053,0.002202559,0.0005804343,0.0002844261],"category_scores_gemma":[0.00385335,0.0009109977,0.0007163016,0.001168066,0.001432068,0.0009301631,0.001223654,0.0007417965,0.0001076633],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01057031,"about_ca_system_score_gemma":0.01228205,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.985947,"about_ca_topic_score_gemma":0.9850328,"domain_scores_codex":[0.9925453,0.000912796,0.001158527,0.002150676,0.002332724,0.0008999812],"domain_scores_gemma":[0.9936333,0.002120074,0.0009428641,0.001331982,0.001355966,0.0006158443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004887253,0.0011993,0.4457401,0.000757791,0.001146503,0.001963879,0.2967824,0.006116503,0.002318882,0.0586749,0.002753056,0.182058],"study_design_scores_gemma":[0.0006864713,0.000130146,0.3672447,0.001080274,0.0004954517,0.0002727698,0.2952594,0.002324532,0.00226572,0.0004190523,0.3286698,0.001151698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9061056,0.03871168,0.002348545,0.001245542,0.003030921,0.0004359476,0.0002196538,0.0002860127,0.04761611],"genre_scores_gemma":[0.8871797,0.001105339,0.002796471,0.000145552,0.00038806,0.00003608665,0.001070399,0.00005167801,0.1072267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3259168,"threshold_uncertainty_score":0.9998618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02948089893880181,"score_gpt":0.2673148349869306,"score_spread":0.2378339360481288,"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."}}