{"id":"W4413311098","doi":"10.7202/1119166ar","title":"La population âgée et les aides aux usages du numérique","year":2025,"lang":"fr","type":"article","venue":"Lien social et Politiques","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001573409,0.0002271759,0.0002764938,0.001884266,0.001022451,0.001796947,0.000350528,0.0002851972,0.009320543],"category_scores_gemma":[0.006825746,0.0001548122,0.0001875886,0.003094774,0.001473497,0.001378172,0.001276122,0.0005284733,0.0008618564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597817,"about_ca_system_score_gemma":0.00114431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07373677,"about_ca_topic_score_gemma":0.114471,"domain_scores_codex":[0.9982892,0.0006798828,0.0000924872,0.0002732344,0.0004235453,0.0002416706],"domain_scores_gemma":[0.9956236,0.002146642,0.001086764,0.0002515239,0.000681045,0.0002103105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001992549,0.00006224406,0.5858777,0.0005654033,0.0001315286,0.0007890697,0.1933343,0.0008032891,0.001963905,0.03646758,0.00577167,0.174034],"study_design_scores_gemma":[0.000009512793,0.00009287925,0.774974,0.0003381142,0.00004338835,0.0005851397,0.04591114,0.000293553,0.0004854936,0.001922763,0.1753003,0.00004367388],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653836,0.002307376,0.001513899,0.0008584845,0.00004069704,0.0000155888,0.001089076,0.00003052844,0.02876076],"genre_scores_gemma":[0.9836633,0.001924982,0.001229728,0.00008817289,0.00003355265,0.00003060112,0.0003446477,0.00001825528,0.01266673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07373677,"threshold_uncertainty_score":0.1466152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05613823706542672,"score_gpt":0.4522723455564638,"score_spread":0.3961341084910371,"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."}}