{"id":"W2802833075","doi":"10.2196/10073","title":"Online Decision Support Tool for Personalized Cancer Symptom Checking in the Community (REACT): Acceptability, Feasibility, and Usability Study","year":2018,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for Health and Care Research","keywords":"Usability; Medicine; Estimation; Cancer; Personalized medicine; Family medicine; Computer science; Bioinformatics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002279043,0.0002732165,0.0005623279,0.00007813299,0.0003138204,0.00006389392,0.0003445935,0.0001329657,0.001338365],"category_scores_gemma":[0.0003112344,0.0001905176,0.0001658731,0.0004085168,0.0004320635,0.0001648422,0.0002104668,0.0005689184,0.000002054827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007134727,"about_ca_system_score_gemma":0.0004057844,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01793736,"about_ca_topic_score_gemma":0.299622,"domain_scores_codex":[0.9976423,0.000400081,0.0005008951,0.0005256951,0.0005271535,0.0004038305],"domain_scores_gemma":[0.9977151,0.0006815838,0.0001200996,0.0009944036,0.0003769553,0.0001118788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001651522,0.001772311,0.8986222,0.0002100706,0.00004566259,0.000002214672,0.02803276,4.675905e-7,0.0001024765,0.00001242715,0.0005998936,0.06894804],"study_design_scores_gemma":[0.004439792,0.0009781314,0.9630566,0.0001163052,0.0001294627,0.000006962798,0.01605535,0.00006614903,0.00008263692,0.0002670368,0.0145865,0.0002151219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930169,0.0005474723,0.00003619106,0.001181819,0.0004523676,0.004222086,0.0002817002,0.00004735788,0.0002141213],"genre_scores_gemma":[0.9957132,0.0001089473,0.00009397421,0.001615047,0.0005521537,0.001695334,0.00003838131,0.00003070543,0.0001522651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2816846,"threshold_uncertainty_score":0.9995745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08923845146923727,"score_gpt":0.4310765189466731,"score_spread":0.3418380674774358,"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."}}