{"id":"W4210455706","doi":"10.2196/preprints.13445","title":"The Use of Artificially Intelligent Self-Diagnosing Digital Platforms by the General Public: Scoping Review (Preprint)","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; McMaster University; University of Waterloo","funders":"","keywords":"Grey literature; Checklist; Digital library; Preprint; Scopus; Computer science; MEDLINE; Medical diagnosis; Library science; World Wide Web; Information retrieval; Data science; Medicine; Psychology; Political science","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":[0.02779231,0.001082606,0.003433792,0.02059799,0.001539632,0.007206086,0.001923482,0.004199308,0.00707676],"category_scores_gemma":[0.1446382,0.001091718,0.003196194,0.01765133,0.002343758,0.006893175,0.003296182,0.00186551,0.001085008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006691165,"about_ca_system_score_gemma":0.02451685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006190009,"about_ca_topic_score_gemma":0.01103969,"domain_scores_codex":[0.9710264,0.01261912,0.009400418,0.001373909,0.005011099,0.0005691588],"domain_scores_gemma":[0.8327255,0.1342022,0.01440655,0.002702226,0.0152297,0.0007338015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001867083,0.00004258634,0.001271871,0.8173144,0.001332694,0.0002841899,0.003530636,0.0001171235,0.0003183812,0.003602915,0.01287166,0.1591268],"study_design_scores_gemma":[0.0000325098,0.0000712206,0.001737811,0.933794,0.002734084,0.0002484469,0.001983126,0.00004449847,0.0001948823,0.0005896338,0.0585461,0.00002372613],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002470975,0.988095,0.000612005,0.002927835,0.0008791244,0.001387307,0.0005412651,0.00001742099,0.003069009],"genre_scores_gemma":[0.01771268,0.9738086,0.002130894,0.002357475,0.0004225654,0.002588702,0.0004180147,0.00001704436,0.0005440002],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02779231,"threshold_uncertainty_score":0.1469815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7501907448506802,"score_gpt":0.5608059709544859,"score_spread":0.1893847738961942,"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."}}