{"id":"W2898910479","doi":"10.2196/11072","title":"Acceptance and Resistance of New Digital Technologies in Medicine: Qualitative Study","year":2018,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":359,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"eHealth; Resistance (ecology); Qualitative research; Health care; Digital health; Emerging technologies; Health technology; Medicine; Medical education; Family medicine; Nursing; Computer science; Sociology; Political science","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":[0.02223414,0.0004555473,0.0008754043,0.002057537,0.008323647,0.003922378,0.001640417,0.002070221,0.003760184],"category_scores_gemma":[0.02351897,0.0007020934,0.0005283819,0.002169814,0.008149914,0.003998449,0.005184278,0.00243481,0.0004550295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005167483,"about_ca_system_score_gemma":0.004532527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003742203,"about_ca_topic_score_gemma":0.00448697,"domain_scores_codex":[0.9842609,0.01207982,0.0004623086,0.0006495384,0.001003355,0.001544068],"domain_scores_gemma":[0.9668228,0.02668187,0.001977747,0.0005805164,0.001809865,0.002127195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004176174,0.0001242015,0.003787227,0.0002412186,0.000005689948,0.0005661952,0.9888555,0.0000449995,0.0009272478,0.001320182,0.0002974911,0.003788195],"study_design_scores_gemma":[0.000008054482,0.0001032415,0.002057702,0.0002164212,0.000004663601,0.0002613831,0.9923776,0.0001061244,0.0003938085,0.0003170343,0.004140348,0.00001370758],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908687,0.000643861,0.002454818,0.002003224,0.00004120742,0.0004157995,0.0001610548,0.00001312114,0.00339827],"genre_scores_gemma":[0.9940764,0.0009109554,0.00128958,0.001071566,0.00001886964,0.0005842421,0.00006922743,0.00001432943,0.001964887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02223414,"threshold_uncertainty_score":0.1175868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5767623615726978,"score_gpt":0.6684365439923731,"score_spread":0.09167418241967529,"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."}}