{"id":"W3028155249","doi":"","title":"Age et mémoire du temps : quels usages pour quels services ?","year":2010,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.007032283,0.0002894499,0.00066832,0.001533221,0.001992755,0.004537671,0.0009912848,0.001708223,0.01654369],"category_scores_gemma":[0.0380125,0.0002307581,0.0004931077,0.002886432,0.002398723,0.00680563,0.001352973,0.003031611,0.001107595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003828302,"about_ca_system_score_gemma":0.005678168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07628308,"about_ca_topic_score_gemma":0.09382334,"domain_scores_codex":[0.9962474,0.001835354,0.0002605146,0.0002860131,0.0007398783,0.0006308401],"domain_scores_gemma":[0.9811397,0.007295307,0.002954432,0.0006021143,0.002749166,0.005259325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006692724,0.0003889003,0.2916262,0.001521052,0.0002284024,0.0009219643,0.2304796,0.0001830451,0.001082164,0.03847417,0.06668939,0.3677359],"study_design_scores_gemma":[0.00005262313,0.0002567002,0.4673236,0.004061237,0.00024182,0.001691432,0.2848714,0.0003719704,0.0004154448,0.01589815,0.2246471,0.0001684851],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4792359,0.08193732,0.001529235,0.3634526,0.003615364,0.00004010138,0.002727332,0.00007434778,0.06738766],"genre_scores_gemma":[0.9602043,0.02352767,0.0004176232,0.006402662,0.001377883,0.00003643401,0.0002557106,0.00007361874,0.007704061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07628308,"threshold_uncertainty_score":0.1516781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02596583459013106,"score_gpt":0.3176488248451408,"score_spread":0.2916829902550097,"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."}}