{"id":"W4205716210","doi":"10.2196/preprints.24184","title":"Gender Differences in Satisfaction With a Text Messaging Program (Text4Hope) and Anticipated Receptivity to Technology-Based Health Support During the COVID-19 Pandemic: Cross-sectional Survey Study (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Alberta Health Services; Alberta Health; University of Calgary; University of Alberta","funders":"Alberta Children's Hospital Foundation; University of Alberta; Alberta Cancer Foundation; Royal Alexandra Hospital Foundation; Children's Hospital Foundation; Alberta Health Services","keywords":"Likert scale; Pandemic; Cross-sectional study; Perceived Stress Scale; Anxiety; Medicine; Scale (ratio); Psychology; Family medicine; Demography; Coronavirus disease 2019 (COVID-19); Psychiatry; Geography; Stress (linguistics); Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00105901,0.0001279451,0.0001682575,0.0003739328,0.0003589258,0.0004822108,0.0002211206,0.0004324841,0.002897238],"category_scores_gemma":[0.002279436,0.000239212,0.0003716642,0.0004739797,0.000212807,0.0004905398,0.0003048387,0.0004187334,0.0004659035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002351152,"about_ca_system_score_gemma":0.0002514343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007526593,"about_ca_topic_score_gemma":0.01059107,"domain_scores_codex":[0.9996459,0.00009350268,0.00004302507,0.00006362673,0.00007915628,0.00007473867],"domain_scores_gemma":[0.9983118,0.0004350413,0.0007428814,0.00006038228,0.0001583023,0.0002917303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006429135,0.0001296648,0.9972067,0.000012829,0.00002115806,0.00003548647,0.0009357054,0.000008853758,0.000210635,0.00001524058,0.0001571755,0.001202175],"study_design_scores_gemma":[0.00000246573,0.0001522472,0.9981863,0.000005270488,0.000006093668,0.00004880872,0.0014034,0.00004782412,0.00003438944,0.000005134046,0.0001054107,0.000002592074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994146,0.00002617424,0.00002389038,0.00003641792,0.000003585599,0.00000990625,0.0002323353,0.000001117517,0.0002520243],"genre_scores_gemma":[0.999285,0.00003586491,0.00005475117,0.00006289543,0.000005370988,0.00001820406,0.0001689004,0.000001198409,0.0003679101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007526593,"threshold_uncertainty_score":0.01496559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2548219282752937,"score_gpt":0.5052783438952425,"score_spread":0.2504564156199489,"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."}}