{"id":"W6913017226","doi":"10.5683/sp2/pp5u7y","title":"RSI-01: Protection against financial risks in retirement: An economic analysis of the risk of dependency / Protection contre les risques financiers à la retraite: analyse économique du risque de dépendance","year":2019,"lang":"fr","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Economic analysis; Commission; Life insurance; Quarter (Canadian coin); Economic impact analysis; Dependency (UML)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002361656,0.0003019114,0.0004797854,0.001621323,0.0005064684,0.002297677,0.0008895306,0.001058593,0.01170668],"category_scores_gemma":[0.006628856,0.0002710535,0.001044186,0.002478629,0.0005266891,0.001012591,0.0009632449,0.001340247,0.001573802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004207161,"about_ca_system_score_gemma":0.00463725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3748404,"about_ca_topic_score_gemma":0.4196058,"domain_scores_codex":[0.9992974,0.0001853546,0.00004296223,0.00008681407,0.0002364406,0.0001509158],"domain_scores_gemma":[0.9960264,0.001426533,0.001011028,0.000255998,0.0007820178,0.0004980867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004784034,0.000150403,0.7512608,0.0005947777,0.0006471261,0.0006669913,0.002504433,0.01805232,0.0006313191,0.07923619,0.08167738,0.0640998],"study_design_scores_gemma":[0.00003420308,0.0001812344,0.9108289,0.0003881726,0.0003213004,0.0001692117,0.002432372,0.01558383,0.0005518556,0.007010866,0.06241636,0.00008158826],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8116257,0.01095206,0.007904232,0.03645913,0.0003166564,0.000293599,0.05939179,0.0002021172,0.07285464],"genre_scores_gemma":[0.9331413,0.003231818,0.001469893,0.0007407942,0.0002501966,0.0001359458,0.0107868,0.00005852828,0.0501848],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.3748404,"threshold_uncertainty_score":0.7453172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03534807904780535,"score_gpt":0.2704343046067532,"score_spread":0.2350862255589478,"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."}}