{"id":"W4323035021","doi":"10.1002/9781119790686.ch38","title":"AI‐Enabled Consumer‐Facing Health Technology","year":2023,"lang":"en","type":"other","venue":"AI in Clinical Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Order (exchange); Health care; Emerging technologies; Internet privacy; Business; Marketing; Knowledge management; Public relations; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002272598,0.00030977,0.001617191,0.001144407,0.00005438485,0.000004611964,0.0001946844,0.001207649,0.00181801],"category_scores_gemma":[0.006713734,0.0002483653,0.0001096365,0.001155646,0.0006773817,0.00002331689,0.00005849462,0.00215923,0.001362231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002244369,"about_ca_system_score_gemma":0.001122744,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01229701,"about_ca_topic_score_gemma":0.009927343,"domain_scores_codex":[0.9958967,0.0001699735,0.002194201,0.0007224407,0.0003769279,0.0006397767],"domain_scores_gemma":[0.9968777,0.001240004,0.0005198322,0.0007994792,0.0001507048,0.0004122441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004992881,0.0001371149,0.04869313,0.0004133018,0.00005684007,0.00007754197,0.0001446392,3.123066e-7,0.000001761522,0.0003530722,0.7304457,0.2196267],"study_design_scores_gemma":[0.0005005813,0.001674443,0.00270395,0.01005789,0.00009028384,0.00003351516,0.001096428,0.00008535681,0.00001639841,0.003371494,0.9801192,0.0002504323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001641512,0.01345536,0.0003199039,0.8912079,0.01483977,0.002982763,0.00001573907,0.002315427,0.07322168],"genre_scores_gemma":[0.08939876,0.06989335,0.0009225158,0.2103927,0.01688345,0.0004422615,0.0003090229,0.002849341,0.6089086],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6808152,"threshold_uncertainty_score":0.9999968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3548852824391443,"score_gpt":0.5953834677675711,"score_spread":0.2404981853284268,"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."}}