{"id":"W4298325808","doi":"10.1186/s12913-022-08592-0","title":"A healthcare workers’ mHealth adoption instrument for the developing world","year":2022,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"mHealth; Confirmatory factor analysis; Structural equation modeling; Health informatics; Health administration; Cronbach's alpha; Staffing; Health care; Medicine; Nursing; Exploratory factor analysis; Developing country; Applied psychology; Psychology; Knowledge management; Public health; Psychometrics; Psychological intervention; Clinical psychology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.007340964,0.0004176849,0.0003129161,0.002103145,0.0004831686,0.0006217744,0.000526391,0.0005118023,0.002461215],"category_scores_gemma":[0.01218487,0.0003017632,0.0008767784,0.00186021,0.000515572,0.001333238,0.001242085,0.0009191393,0.0003640192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007727429,"about_ca_system_score_gemma":0.001676257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001721992,"about_ca_topic_score_gemma":0.00294274,"domain_scores_codex":[0.997826,0.0009120723,0.0004864474,0.00009768367,0.0005305347,0.0001471533],"domain_scores_gemma":[0.9908035,0.003575522,0.002993156,0.0004143679,0.001783155,0.0004303139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005013155,0.0012358,0.792933,0.0008598053,0.0001441689,0.0002985536,0.008100239,0.00140612,0.00339481,0.001598243,0.004841737,0.1846862],"study_design_scores_gemma":[0.000133504,0.001322817,0.9792627,0.0003366188,0.00005780587,0.0003172581,0.005346184,0.002043141,0.0008320902,0.0010058,0.009298094,0.00004391059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782074,0.0004400436,0.006688864,0.0007347214,0.00006080804,0.003518431,0.002904238,0.0001189001,0.007326591],"genre_scores_gemma":[0.9495626,0.0004753652,0.04028536,0.0001773059,0.00002614693,0.006190272,0.00209052,0.0000173394,0.001175086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007340964,"threshold_uncertainty_score":0.03882319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2328962251926889,"score_gpt":0.5397330939293863,"score_spread":0.3068368687366974,"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."}}