{"id":"W1535141691","doi":"10.15353/joci.v8i1.3051","title":"Overview: Technology and Aging Issue","year":2012,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering ethics; Computer science; Data science; Engineering","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":[0.007516932,0.002404854,0.002190316,0.007016561,0.002824047,0.006972833,0.002861282,0.0212563,0.02306485],"category_scores_gemma":[0.03022435,0.001251354,0.002737424,0.005457796,0.001360254,0.007810962,0.002764392,0.01308044,0.01690265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002611486,"about_ca_system_score_gemma":0.005292827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004235976,"about_ca_topic_score_gemma":0.008962855,"domain_scores_codex":[0.9945306,0.0006854784,0.0009651282,0.0005349672,0.002845753,0.0004380289],"domain_scores_gemma":[0.9484317,0.01435939,0.005647971,0.0009930523,0.02658794,0.003979859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002251514,0.00001079035,0.00009585782,0.0002966994,0.00001013229,0.00005995918,0.00001460989,0.000007347526,0.00006206714,0.00008422996,0.9933742,0.005961708],"study_design_scores_gemma":[0.00002477736,0.00004403537,0.001076615,0.001206876,0.00005917887,0.000272921,0.0001207234,0.00003148039,0.00009494195,0.0002964451,0.9967488,0.00002315918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001824857,0.04303375,0.0002389313,0.3796268,0.5723591,0.00008623271,0.0004774647,0.0001258288,0.003869371],"genre_scores_gemma":[0.0009539989,0.03725512,0.0003865533,0.3495498,0.5878865,0.0001512824,0.0005895246,0.0001050152,0.02312228],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02306485,"threshold_uncertainty_score":0.07715964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03529987788308572,"score_gpt":0.3287887701515761,"score_spread":0.2934888922684904,"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."}}