{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002816308,0.0004021414,0.0001852385,0.001296098,0.001222271,0.004485971,0.0008630674,0.002512053,0.1517211],"category_scores_gemma":[0.0090959,0.0001626705,0.0003998496,0.001391247,0.001610298,0.004470442,0.003278846,0.001881482,0.03287227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002054917,"about_ca_system_score_gemma":0.002711996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00256244,"about_ca_topic_score_gemma":0.004251838,"domain_scores_codex":[0.9980987,0.0007745978,0.00006045339,0.0001304669,0.0007666416,0.0001692149],"domain_scores_gemma":[0.9938829,0.002790259,0.0002814289,0.0007410282,0.001546314,0.0007582092],"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":[0.00008033706,0.0001296001,0.001727269,0.0004604264,0.00001481595,0.0003589733,0.000489326,0.0004675295,0.0005233132,0.2729561,0.4509339,0.2718585],"study_design_scores_gemma":[0.0000132926,0.00002499476,0.0006184763,0.0002372464,0.000004904009,0.0004087713,0.0002485603,0.0006747126,0.000382129,0.03384485,0.9635291,0.00001296206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001510539,0.001574636,0.005257317,0.01919652,0.0006128535,0.00008273713,0.0003770331,0.0003407041,0.9710477],"genre_scores_gemma":[0.1134424,0.01437004,0.02044432,0.03009981,0.002257401,0.0004592858,0.00217679,0.0005947867,0.8161552],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1517211,"threshold_uncertainty_score":0.5075576,"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."}}