{"id":"W1548085642","doi":"10.5539/ibr.v8n9p142","title":"Mobile Healthcare Adoption among Patients in a Developing Country Environment: Exploring the Influence of Age and Gender Differences","year":2015,"lang":"en","type":"article","venue":"International Business Research","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blueprint; Health care; Technology acceptance model; Structural equation modeling; Sample (material); Process (computing); Knowledge management; Perception; Usability; Business; Computer science; Psychology; Political science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001910372,0.00007527033,0.0001224683,0.00054579,0.00009102949,0.0001043564,0.0006966501,0.00006553219,0.00001938759],"category_scores_gemma":[0.001294928,0.00005063766,0.00001243508,0.0007602239,0.0004141537,0.0005148658,0.0004265066,0.000261063,0.00002034623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000137873,"about_ca_system_score_gemma":0.00008959713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005857252,"about_ca_topic_score_gemma":0.000198669,"domain_scores_codex":[0.9970806,0.0002027445,0.0003869996,0.0002778127,0.001866897,0.0001849895],"domain_scores_gemma":[0.9982951,0.000306104,0.0001064847,0.0002256594,0.001014967,0.00005170488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002532328,0.00004223708,0.9940327,0.000004812437,0.000003152898,0.00000719736,0.001187617,0.0003790027,0.00002472665,0.0009368449,0.00003642804,0.003319973],"study_design_scores_gemma":[0.0002758475,0.00002200543,0.9915919,0.00003755573,6.649009e-7,0.000001406592,0.00125647,0.00009256417,0.00001752945,0.005820812,0.0008306791,0.00005259168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987044,0.00006652697,0.0001591919,0.0006029747,0.0001466338,0.0002103124,0.00001162909,0.00001080463,0.00008746632],"genre_scores_gemma":[0.9992617,0.0003080002,0.0001672352,0.00003239844,0.00001654022,0.0001214878,0.000007267108,0.000004947734,0.00008039142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004883967,"threshold_uncertainty_score":0.2064944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3634110187587793,"score_gpt":0.4418586943952359,"score_spread":0.07844767563645655,"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."}}