{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01814945,0.0006932932,0.0008186018,0.001162934,0.0006391777,0.001453806,0.000870328,0.0009113338,0.004266338],"category_scores_gemma":[0.0441881,0.0004647308,0.001169208,0.0005425386,0.0007226139,0.001742149,0.001697041,0.0009325072,0.0005316169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007016616,"about_ca_system_score_gemma":0.001045697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001207956,"about_ca_topic_score_gemma":0.001621153,"domain_scores_codex":[0.9917813,0.005703745,0.0006538643,0.0004934988,0.000920141,0.000447551],"domain_scores_gemma":[0.9505973,0.04100397,0.001533944,0.001576849,0.003625344,0.001662603],"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":[0.01233118,0.07492892,0.2469061,0.007274387,0.0007503387,0.003221658,0.08330324,0.005149343,0.01524412,0.001231541,0.007930977,0.5417283],"study_design_scores_gemma":[0.009996563,0.1715208,0.6157186,0.002569553,0.001804502,0.004690735,0.07183099,0.05596786,0.01722002,0.002254666,0.04520629,0.001219478],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937227,0.00004281486,0.002563727,0.0001026586,0.00002153105,0.002406216,0.0001804042,0.0001130039,0.0008469287],"genre_scores_gemma":[0.9627001,0.0001738697,0.03044382,0.0002284332,0.00004516087,0.004914731,0.0003848501,0.00005759942,0.001051308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01814945,"threshold_uncertainty_score":0.09598464,"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."}}