{"id":"W4285066308","doi":"10.1007/978-3-031-05581-2_16","title":"Why It is Easier to Slay a Dragon Than to Kill a Myth About Older People’s Smartphone Use","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; ZonMw; Joint Programming Initiative More Years, Better Lives","keywords":"Everyday life; Phone; Context (archaeology); Mythology; Sketch; Empirical research; Computer science; Internet privacy; Smartphone application; Smart phone; Applied psychology; Psychology; Multimedia; Telecommunications; History","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0008192577,0.0003406818,0.000206189,0.000359208,0.001292502,0.002450096,0.0003181248,0.001748297,0.0166207],"category_scores_gemma":[0.003338233,0.0001841975,0.0003601462,0.0002776895,0.001786846,0.003926432,0.001117107,0.002803528,0.004292105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006228001,"about_ca_system_score_gemma":0.0006214449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003546456,"about_ca_topic_score_gemma":0.007316851,"domain_scores_codex":[0.9996026,0.0001142577,0.00001843174,0.00004579884,0.0001399695,0.00007889262],"domain_scores_gemma":[0.9990664,0.0004540916,0.00008545499,0.00003832258,0.0001935448,0.0001621901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001076006,0.00008434818,0.006246596,0.0007402412,0.00005467279,0.001485936,0.11183,0.00006499636,0.00340591,0.04828317,0.4789256,0.348771],"study_design_scores_gemma":[0.00001847373,0.0001074019,0.01055046,0.001157438,0.0000360929,0.003425174,0.06450244,0.00009270399,0.0007367429,0.01411708,0.9052199,0.00003600282],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1180902,0.06233545,0.007321941,0.153088,0.01851797,0.00009605574,0.0003185323,0.0003216947,0.6399102],"genre_scores_gemma":[0.4271985,0.03347406,0.004267115,0.05265794,0.003359955,0.00009939688,0.0002339389,0.0002889256,0.4784202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0166207,"threshold_uncertainty_score":0.05560178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672756608694176,"score_gpt":0.270627846583138,"score_spread":0.2539002804961962,"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."}}