{"id":"W7030351763","doi":"","title":"Mesure de l'impact de la technologie mobile sur l'intérêt pour l'épargne","year":2021,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Persuasion; Accident insurance; Digital humanities","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":[0.005533097,0.0006363595,0.0006479458,0.001662832,0.002210008,0.007663445,0.0008719051,0.001518332,0.02696582],"category_scores_gemma":[0.02624372,0.0003755061,0.001125148,0.001832923,0.001629546,0.004308997,0.002533054,0.002248941,0.003918122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005330316,"about_ca_system_score_gemma":0.007916682,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0957391,"about_ca_topic_score_gemma":0.1333957,"domain_scores_codex":[0.9948422,0.001933633,0.0002065814,0.0006664391,0.001729682,0.0006213992],"domain_scores_gemma":[0.9698089,0.01714756,0.002453169,0.001315088,0.007705401,0.001569901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001688193,0.0008365547,0.3750157,0.005639858,0.0008575568,0.001606447,0.08673393,0.006115461,0.01165758,0.04640919,0.02194014,0.4414994],"study_design_scores_gemma":[0.0001399657,0.001674343,0.6312745,0.005074983,0.001185067,0.0006781533,0.112906,0.009511409,0.006528969,0.01461858,0.2160805,0.0003275707],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7853721,0.007326905,0.01813911,0.0106712,0.0006030555,0.0004421378,0.002544492,0.0002924312,0.1746086],"genre_scores_gemma":[0.9627218,0.003559603,0.006296486,0.0007570113,0.00008144978,0.0002548815,0.0005645024,0.00009485663,0.02566938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9042609,"threshold_uncertainty_score":0.1903636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007477885295337547,"score_gpt":0.2190421475390229,"score_spread":0.2115642622436854,"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."}}