{"id":"W3025299331","doi":"10.2196/18412","title":"Optimizing Health Information Technologies for Symptom Management in Cancer Patients and Survivors: Usability Evaluation","year":2020,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Cancer survivorship and care","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Center for Advancing Translational Sciences; National Institute of Mental Health","keywords":"Usability; System usability scale; Medicine; Web usability; Health care; Nursing; Computer science; Human–computer interaction","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":[0.0015631,0.0000971605,0.0002057201,0.0002771886,0.0001280189,0.00004629943,0.00008976639,0.00006568983,0.00001916221],"category_scores_gemma":[0.0001866301,0.0000838286,0.00003245616,0.0006444484,0.0001006018,0.0006039237,0.0001434522,0.0002680426,0.000006537662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006548126,"about_ca_system_score_gemma":0.0001459184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005549667,"about_ca_topic_score_gemma":0.0005827374,"domain_scores_codex":[0.9982725,0.0001448348,0.0003348164,0.0001763705,0.0007280897,0.0003433633],"domain_scores_gemma":[0.9990686,0.000106857,0.00007716536,0.0001281406,0.0005289447,0.000090261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009184468,0.0002338738,0.04939621,0.004472762,0.00006854967,3.254428e-7,0.1273721,0.00007637595,0.00000911426,0.0007926899,0.003068242,0.8135913],"study_design_scores_gemma":[0.01792771,0.006962015,0.5739405,0.001302573,0.00005600262,0.000001425166,0.2407141,0.1107876,0.001389301,0.002431368,0.04377651,0.0007109495],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979893,0.0005051667,0.0007251843,0.01183358,0.00009938066,0.005379549,0.0000784306,0.00009089657,0.001394792],"genre_scores_gemma":[0.9970098,0.0003882571,0.0001832288,0.0002890641,0.00001610922,0.00198686,0.00011383,0.000006887426,0.000006010041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8128803,"threshold_uncertainty_score":0.3418431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0965389225969275,"score_gpt":0.4485455715647841,"score_spread":0.3520066489678566,"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."}}