{"id":"W4210523288","doi":"10.2196/preprints.22081","title":"Investigating Patients’ Intention to Continue Using Teleconsultation to Anticipate Postcrisis Momentum: Survey Study (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; HEC Montréal","funders":"","keywords":"Preprint; Continuance; Coronavirus disease 2019 (COVID-19); Structural equation modeling; Health care; Quality (philosophy); Medicine; Psychology; Medical emergency; Nursing; Social psychology; Political science; Computer science; Statistics; Internal medicine; Physics; Mathematics","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":[0.003721742,0.0001941102,0.0002728871,0.001067033,0.001097923,0.00116158,0.0005133362,0.0006981731,0.0035849],"category_scores_gemma":[0.0121101,0.0003475944,0.0007204977,0.001460388,0.0005170233,0.00102347,0.000720981,0.001426902,0.0007229018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002529063,"about_ca_system_score_gemma":0.003773045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05374642,"about_ca_topic_score_gemma":0.06714006,"domain_scores_codex":[0.9986616,0.0004671974,0.0002006928,0.0001280529,0.0002559611,0.00028646],"domain_scores_gemma":[0.9896182,0.004159998,0.002680461,0.0003429294,0.001829746,0.001368615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005696336,0.0005355141,0.9870663,0.0000634196,0.00003031438,0.00004822082,0.00596117,0.00004294173,0.00009754158,0.00006570188,0.001121676,0.004910184],"study_design_scores_gemma":[0.00002163068,0.0005456087,0.9834567,0.00005056706,0.00002212879,0.00007037803,0.01406129,0.0003551852,0.0001157614,0.0000294461,0.001251223,0.00002005967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982113,0.0000323869,0.0001064402,0.0002251156,0.000007189018,0.0001335538,0.0006592895,0.000005128409,0.0006197253],"genre_scores_gemma":[0.9978089,0.0001024233,0.0003828161,0.0003139111,0.000009892258,0.0003266651,0.0005118314,0.00000313237,0.0005405414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05374642,"threshold_uncertainty_score":0.1068672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.146031597219648,"score_gpt":0.4138191475904923,"score_spread":0.2677875503708442,"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."}}