{"id":"W4243076625","doi":"10.2196/preprints.28610","title":"Using the Theoretical Domains Framework to Identify Barriers and Enablers to Implementing a Virtual Tertiary–Regional Telemedicine Rounding and Consultation for Kids (TRaC-K) Model: Qualitative Study (Preprint)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; Dalhousie University; University of Calgary","funders":"","keywords":"Qualitative research; Medicine; Health care; Medical home; Telemedicine; Family medicine; Tertiary care; Nursing; Medical emergency; Political science; Primary care","routes":{"ca_aff":true,"ca_fund":false,"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":[0.02404919,0.0003998102,0.0003522277,0.001544105,0.006071085,0.004409464,0.00172713,0.001344708,0.002619263],"category_scores_gemma":[0.01714271,0.0003775382,0.0005420573,0.001619871,0.01039616,0.004972365,0.004396467,0.00248548,0.0002127963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01334919,"about_ca_system_score_gemma":0.0192108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01797453,"about_ca_topic_score_gemma":0.01790838,"domain_scores_codex":[0.987161,0.01054067,0.0003261036,0.0004526391,0.0006458429,0.0008738086],"domain_scores_gemma":[0.9814537,0.01480215,0.0009334738,0.0005066803,0.001462645,0.0008413792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002602773,0.0001607755,0.006678001,0.0005235947,0.00001007065,0.0004134469,0.9215322,0.0005545851,0.0004804054,0.05097359,0.002144588,0.01650267],"study_design_scores_gemma":[0.00001014078,0.00003088464,0.001356251,0.00036317,0.000004696292,0.0001021462,0.9864311,0.0006478961,0.0002492425,0.004456687,0.006335352,0.00001244234],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8941554,0.0009211379,0.0440906,0.01907249,0.0001797997,0.004047626,0.0007451806,0.00004759368,0.03674011],"genre_scores_gemma":[0.9788608,0.0003827368,0.01506821,0.001277265,0.000007519308,0.002053945,0.0001013308,0.00001128184,0.002237086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02404919,"threshold_uncertainty_score":0.1271858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06417067080457939,"score_gpt":0.4145080912621975,"score_spread":0.3503374204576181,"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."}}