{"id":"W4383737550","doi":"10.1177/20501579231185479","title":"Mobile phone use before and during the COVID-19 pandemic – a panel study of older adults in seven countries","year":2023,"lang":"en","type":"article","venue":"Mobile Media & Communication","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Strategic Research Council; Concordia University; Academy of Finland","keywords":"Mobile phone; Residence; Demography; Pandemic; Geography; Longitudinal study; Psychology; Multinomial logistic regression; Sample (material); Latent class model; Gerontology; Medicine; Coronavirus disease 2019 (COVID-19); Sociology; Telecommunications; Computer science; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001351848,0.0001187111,0.000220297,0.0002022433,0.0005146844,0.00003792015,0.0007749084,0.0001523915,0.00002089221],"category_scores_gemma":[0.0008781331,0.00009976952,0.000024654,0.0008747138,0.0006992354,0.0002461631,0.0004032547,0.0003000771,0.00001097721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001815964,"about_ca_system_score_gemma":0.0001202408,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0154062,"about_ca_topic_score_gemma":0.2428908,"domain_scores_codex":[0.9981869,0.0006179321,0.0003489195,0.0002351858,0.0003418153,0.0002691978],"domain_scores_gemma":[0.9975944,0.001149274,0.0001833213,0.0009074111,0.00009020696,0.00007544962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00002908755,0.0001508259,0.4785747,0.00002863595,0.00001202544,0.000002313182,0.5187642,0.0000555283,0.00002894901,0.00004645747,0.0001118871,0.00219534],"study_design_scores_gemma":[0.001977814,0.00009981119,0.6410379,0.00008503913,0.00001874852,0.000003178073,0.3513902,0.0001287306,0.00002639378,0.0003613166,0.004737139,0.0001338246],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963832,0.0005698357,0.00000202183,0.0006837255,0.00005934679,0.001963724,0.00001855856,0.0003036512,0.0000159122],"genre_scores_gemma":[0.9950196,0.003224819,0.00002515158,0.0000807267,0.00001742424,0.001488177,0.0000232308,0.00001524244,0.0001056296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2274846,"threshold_uncertainty_score":0.9911503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03566833023228414,"score_gpt":0.3172998563722259,"score_spread":0.2816315261399417,"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."}}