{"id":"W3211242631","doi":"10.1371/journal.pone.0259547","title":"Latent classes associated with the intention to use a symptom checker for self-triage","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Latent class model; Odds; Triage; Odds ratio; Structural equation modeling; Confounding; Population; Psychology; Clinical psychology; Medicine; Computer science; Psychiatry; Environmental health; Machine learning; Internal medicine; Logistic regression","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00501879,0.0003153539,0.0003727279,0.001161596,0.0005933812,0.002226851,0.0005366916,0.0007592649,0.004977752],"category_scores_gemma":[0.01855518,0.0002916027,0.001538636,0.00111466,0.0009212269,0.00086038,0.001192319,0.001530467,0.0004506855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008763165,"about_ca_system_score_gemma":0.001157707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01386499,"about_ca_topic_score_gemma":0.01161113,"domain_scores_codex":[0.9973636,0.001081481,0.0002416292,0.0003369808,0.0004612034,0.0005150887],"domain_scores_gemma":[0.9759176,0.009938766,0.008344619,0.002152917,0.001121216,0.002524824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000655427,0.00008208762,0.997692,0.00000534235,0.00004011726,0.00001100243,0.0003216675,0.00009352143,0.0000638647,0.0001149867,0.00004185342,0.001468076],"study_design_scores_gemma":[0.000004706177,0.00006329078,0.9970683,0.000008679245,0.00001980638,0.00001781839,0.0005091928,0.001974598,0.00003053431,0.0002233496,0.00007327449,0.000006451664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985821,0.00003512963,0.0006236312,0.0001265238,0.000004538563,0.00002693651,0.0001910955,0.000007438256,0.0004026293],"genre_scores_gemma":[0.9992757,0.00002572352,0.0002350988,0.00001075843,0.000004181056,0.0000215069,0.0002434009,0.000002785147,0.0001808816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01386499,"threshold_uncertainty_score":0.02756858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1278101408604454,"score_gpt":0.342184015958632,"score_spread":0.2143738750981866,"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."}}