{"id":"W3044240607","doi":"10.2196/16300","title":"Adoption and Performance of Complementary Clinical Information Technologies: Analysis of a Survey of General Practitioners","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; Université du Québec à Trois-Rivières; Université du Québec à Montréal","funders":"","keywords":"Multinomial logistic regression; Logistic regression; Telehealth; Univariate; Variance (accounting); Cluster (spacecraft); Global Positioning System; Multivariate analysis; Computer science; Medicine; Multivariate statistics; Health care; Telemedicine; Business; Machine learning","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":[0.002468236,0.0002036335,0.0003244801,0.001142968,0.0004329966,0.0007180487,0.0004725408,0.0009302659,0.0007721198],"category_scores_gemma":[0.0088656,0.0003194322,0.0003836723,0.002881095,0.0006337974,0.0007072533,0.0008468993,0.0005216624,0.0002546323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011148,"about_ca_system_score_gemma":0.0007316396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02838402,"about_ca_topic_score_gemma":0.02706102,"domain_scores_codex":[0.9973741,0.001245702,0.0002614048,0.0003652398,0.0004734919,0.0002800557],"domain_scores_gemma":[0.9937866,0.002401537,0.002163144,0.0004188556,0.0006182055,0.000611788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000368592,0.00004552432,0.9969169,0.00001698796,0.00003153077,0.00005048371,0.001386792,0.00005034543,0.00008285279,0.00000994635,0.00005829756,0.001313465],"study_design_scores_gemma":[0.000003693796,0.00009802335,0.9978831,0.000005733965,0.000006723019,0.00005429189,0.001733272,0.0001249157,0.00001183215,0.000006487761,0.00006945396,0.000002363732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996548,0.00004157923,0.00003741372,0.00002895062,5.497893e-7,0.00001031911,0.0001476723,0.000001044959,0.00007773402],"genre_scores_gemma":[0.9996396,0.00005227728,0.00008081611,0.00002880387,0.000001580068,0.00001349036,0.0001444071,8.421709e-7,0.00003812699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02838402,"threshold_uncertainty_score":0.05643761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.371794104856371,"score_gpt":0.5951590107470796,"score_spread":0.2233649058907086,"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."}}