{"id":"W4391263025","doi":"10.2196/45506","title":"Telephone-Based Training Intervention for Using Digital Communication Technologies for Social Housing Residents During the COVID-19 Pandemic: Mixed Methods Feasibility and Acceptability Evaluation","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; Engineering and Physical Sciences Research Council; European Commission; University of Exeter","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Intervention (counseling); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Training (meteorology); Medical education; Psychology; Medicine; Nursing; Geography; Virology","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":[0.02830574,0.001347692,0.001342263,0.001115164,0.00201985,0.001546304,0.001933698,0.002405281,0.007376708],"category_scores_gemma":[0.02081391,0.0009479939,0.001852729,0.0005937588,0.001250249,0.001345371,0.001912613,0.001514525,0.0005607805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002646625,"about_ca_system_score_gemma":0.007028109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003435156,"about_ca_topic_score_gemma":0.005893147,"domain_scores_codex":[0.9851972,0.01093427,0.0008716229,0.0006314082,0.001212463,0.00115303],"domain_scores_gemma":[0.988255,0.007134542,0.001092045,0.0006166805,0.001777401,0.001124333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.09510402,0.3371526,0.02377723,0.0143471,0.001062608,0.0009400417,0.03398482,0.003101209,0.006854734,0.001944598,0.004489355,0.4772418],"study_design_scores_gemma":[0.09096046,0.7779497,0.08748758,0.002933389,0.001210895,0.0002445194,0.01797682,0.004974931,0.004914648,0.001365762,0.009713789,0.0002675558],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8246868,0.0002452947,0.00455574,0.000418436,0.0001491609,0.1661466,0.0006006123,0.0001111832,0.003086156],"genre_scores_gemma":[0.5420906,0.000697098,0.03295946,0.0006052583,0.0001611806,0.4213697,0.0003854489,0.00001980754,0.001711441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02830574,"threshold_uncertainty_score":0.1496968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5422291332346758,"score_gpt":0.6522822025768036,"score_spread":0.1100530693421278,"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."}}