{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00328081,0.0002650096,0.0003282183,0.001001621,0.0008148654,0.001266825,0.0005240264,0.0004708325,0.00873426],"category_scores_gemma":[0.01463276,0.0003264579,0.0006652108,0.0007085365,0.0004702292,0.001248774,0.001697499,0.0008359354,0.002266722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001221437,"about_ca_system_score_gemma":0.003254178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004242377,"about_ca_topic_score_gemma":0.006729116,"domain_scores_codex":[0.9984066,0.000634551,0.0001010847,0.0001455366,0.0003684448,0.0003437727],"domain_scores_gemma":[0.9909604,0.003149666,0.0009832762,0.0004707397,0.002037109,0.002398778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001797339,0.0169119,0.6678346,0.0007980528,0.0001028822,0.001372814,0.0256098,0.0001648358,0.001511996,0.0005086657,0.0194438,0.2639433],"study_design_scores_gemma":[0.001116046,0.02034655,0.889145,0.0003555033,0.0002364037,0.003482144,0.02495574,0.00152689,0.002046432,0.0003039111,0.0563702,0.0001151719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9943569,0.0001230583,0.000315254,0.0002785925,0.00001397059,0.000685456,0.0004351702,0.0000444441,0.003747065],"genre_scores_gemma":[0.991372,0.0003896542,0.002416602,0.0005390326,0.00002970728,0.001039659,0.0006608228,0.0000330126,0.003519592],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00873426,"threshold_uncertainty_score":0.02921897,"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."}}