{"id":"W2737292476","doi":"10.2196/cancer.7120","title":"Development, Feasibility, and Small-Scale Implementation of a Web-Based Prognostic Tool—Surveillance, Epidemiology, and End Results Cancer Survival Calculator","year":2017,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Calculator; Usability; Medicine; Scale (ratio); Population; Surveillance, Epidemiology, and End Results; The Internet; Epidemiology; Family medicine; Computer science; World Wide Web; Cancer registry; Internal medicine; Environmental health","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":[0.0008999542,0.0002181117,0.0005811255,0.00007083448,0.0002080599,0.00002798945,0.0001107761,0.0001282223,0.0001297445],"category_scores_gemma":[0.000198797,0.0001893559,0.00006722163,0.00007780794,0.0003147743,0.00007975166,0.000103502,0.0001504304,9.96449e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001663887,"about_ca_system_score_gemma":0.0007723157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009307915,"about_ca_topic_score_gemma":0.2236716,"domain_scores_codex":[0.9982639,0.0001072164,0.000549132,0.0005323339,0.0001905798,0.0003568632],"domain_scores_gemma":[0.9985377,0.0002152182,0.0004159636,0.0004615393,0.0001931079,0.0001764901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006165575,0.00003644226,0.9493769,0.0004134218,0.00007159995,0.000003386449,0.0005531107,0.000001588717,0.0007392613,0.00002837667,0.0003381563,0.04782121],"study_design_scores_gemma":[0.004688099,0.000103476,0.9766568,0.0002168788,0.00006065439,0.000003264511,0.0002464507,0.00008690844,0.00112791,0.00002180168,0.01658191,0.000205863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938022,0.001984498,0.00002270016,0.001858888,0.0004372897,0.001007298,0.0004669079,0.00003502086,0.0003852206],"genre_scores_gemma":[0.9977843,0.0004844261,0.0004315284,0.0003099639,0.0001843242,0.0005336078,0.00006055812,0.0000242583,0.0001870267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2143637,"threshold_uncertainty_score":0.9972892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1013497699651498,"score_gpt":0.4101612948336293,"score_spread":0.3088115248684795,"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."}}