{"id":"W4281753467","doi":"10.2196/35500","title":"Convenient Access to Expert-Reviewed Health Information via an Alexa Voice Assistant Skill for Patients With Multiple Myeloma: Development Study","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"AI in Service Interactions","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"German; Multiple myeloma; Medicine; Computer science; Medical education; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002419527,0.0001763158,0.000221515,0.0001435082,0.0005989021,0.0002075051,0.0009981326,0.00001566128,0.00006627281],"category_scores_gemma":[0.00001341894,0.0001535006,0.00003156414,0.0005206043,0.000007701377,0.002027746,0.0005467369,0.0001207489,0.00001826368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001176874,"about_ca_system_score_gemma":0.0004202116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006333473,"about_ca_topic_score_gemma":0.002413727,"domain_scores_codex":[0.998135,0.0001024209,0.0004809049,0.0003649279,0.0005891508,0.0003276244],"domain_scores_gemma":[0.9985525,0.00006084567,0.000334239,0.0005035365,0.0003658683,0.0001829947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006402845,0.005262346,0.134477,0.0002713644,0.000204081,0.000002940164,0.2336537,0.005158537,0.00002015197,0.00009249262,0.02998943,0.5902277],"study_design_scores_gemma":[0.001997684,0.00147202,0.4317619,0.0000654949,0.000005503176,0.000001458153,0.002133242,0.007656853,0.00006828974,0.000005608846,0.5544388,0.0003930874],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7808145,0.00009706734,0.2042343,0.003400544,0.001912082,0.009149918,0.0001097579,0.0002397005,0.00004212209],"genre_scores_gemma":[0.9599165,0.000003495341,0.0154561,0.008569675,0.0000440177,0.01586997,0.0000761929,0.00001776929,0.00004624918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5898346,"threshold_uncertainty_score":0.6259574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02896264321049355,"score_gpt":0.3551861401627379,"score_spread":0.3262234969522443,"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."}}