{"id":"W2573418163","doi":"10.29173/cais914","title":"The Use of Technology in the ‘Third Age’: Findings from the Effects of Digital Technology on Seniors (EDITS) Project","year":2016,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identifier; Digital library; Point (geometry); Library science; Key (lock); Humanities; Computer science; Art; Mathematics","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":[0.003535708,0.0002352852,0.0003455082,0.001380449,0.002353755,0.002550819,0.0004911033,0.000693739,0.00256079],"category_scores_gemma":[0.009014574,0.0002753694,0.0002621591,0.0008636297,0.001642893,0.001659129,0.003668737,0.0008334615,0.000277358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331719,"about_ca_system_score_gemma":0.001821004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02239278,"about_ca_topic_score_gemma":0.03961322,"domain_scores_codex":[0.9979351,0.0009619674,0.0001360388,0.0001329486,0.00046013,0.0003737769],"domain_scores_gemma":[0.9906451,0.003911949,0.00182219,0.0004131389,0.001197178,0.002010522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002338801,0.0006627245,0.2242803,0.0002609048,0.00003148783,0.0009028053,0.6993843,0.00003871755,0.0008687536,0.0007051681,0.003049805,0.0695812],"study_design_scores_gemma":[0.00002030279,0.0006095768,0.4469536,0.0001533008,0.00003990994,0.0003100316,0.5356262,0.00006522041,0.0005989893,0.0002250466,0.01537178,0.00002596705],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974014,0.0001555848,0.00004205454,0.0002825061,0.000006554113,0.00001071513,0.00005033057,0.000004102348,0.002046801],"genre_scores_gemma":[0.9977586,0.0002604645,0.00009749502,0.0001764362,0.000007641836,0.00002242114,0.00004386766,0.000004047111,0.001629089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02239278,"threshold_uncertainty_score":0.04452485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03569296802606142,"score_gpt":0.3080367355072785,"score_spread":0.2723437674812171,"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."}}