{"id":"W4411019305","doi":"10.1371/journal.pone.0325512","title":"Factors influencing user decision of telemedicine applications in Thailand","year":2025,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"","keywords":"Telemedicine; Usability; Government (linguistics); Quality (philosophy); Exploratory factor analysis; Decision support system; Exploratory research; Service (business); Business; Health care; Medicine; Knowledge management; Computer science; Marketing; Data mining","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":[0.001165795,0.0001523272,0.0001620874,0.0007096062,0.000549209,0.001532115,0.000161116,0.0003566283,0.002217902],"category_scores_gemma":[0.007313993,0.0001639059,0.0003094465,0.000992303,0.0004053052,0.0005232724,0.0005229027,0.0004172713,0.0001693336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000605483,"about_ca_system_score_gemma":0.0008404503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01134061,"about_ca_topic_score_gemma":0.01201588,"domain_scores_codex":[0.9986023,0.0006538561,0.0002133539,0.00008250603,0.0002654232,0.0001825161],"domain_scores_gemma":[0.9913668,0.004913594,0.001982936,0.0001077875,0.0006123481,0.001016606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001624378,0.0002314892,0.977373,0.00008886461,0.00002878432,0.0006662349,0.008504545,0.0002882507,0.0005574719,0.0001344834,0.0001660365,0.01179833],"study_design_scores_gemma":[0.000009739611,0.0002661364,0.9732746,0.00006871542,0.00003065261,0.0006213107,0.02182046,0.002750502,0.0003113611,0.0001156033,0.0007029121,0.00002796179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993609,0.00005152359,0.00005943572,0.00005955028,0.000001074723,0.000008162765,0.00002498402,0.000001015257,0.0004333637],"genre_scores_gemma":[0.9996984,0.00006621561,0.00006483025,0.00001297652,0.000001392665,0.000005021477,0.00001637092,6.532882e-7,0.0001341583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01134061,"threshold_uncertainty_score":0.02254921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1347063790490185,"score_gpt":0.3678937388650425,"score_spread":0.233187359816024,"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."}}