{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07567575,0.00104956,0.0004755804,0.001489797,0.001359037,0.002454478,0.003490088,0.001728581,0.002406565],"category_scores_gemma":[0.09175881,0.001076597,0.00112646,0.0006230684,0.001751342,0.00280271,0.002849487,0.001810954,0.0007758703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002736081,"about_ca_system_score_gemma":0.01112408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003648607,"about_ca_topic_score_gemma":0.004963425,"domain_scores_codex":[0.9664628,0.02233708,0.002853343,0.001789122,0.004577972,0.001979778],"domain_scores_gemma":[0.9315534,0.04445988,0.002284729,0.005745622,0.01258819,0.003368236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004989513,0.07668342,0.1891426,0.003826303,0.0004098476,0.002399534,0.04666214,0.006271285,0.0269346,0.002372194,0.007454692,0.6328539],"study_design_scores_gemma":[0.01247151,0.2079059,0.53943,0.003958563,0.001087684,0.003301761,0.05549605,0.05244758,0.05040643,0.00334756,0.06913517,0.001011924],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9171406,0.0001002467,0.02667612,0.001044919,0.00009189466,0.05137695,0.0003762704,0.0006686266,0.002524319],"genre_scores_gemma":[0.6271857,0.0002428275,0.3233096,0.0008061156,0.00005886875,0.04567407,0.001206739,0.0002091331,0.001306967],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.07567575,"threshold_uncertainty_score":0.4002164,"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."}}