{"id":"W4385802347","doi":"10.3390/curroncol30080551","title":"Exploring the Use of a Digital Platform for Cancer Patients to Report Their Demographics, Disease and Therapy Characteristics, Age, and Educational Disparities: An Early-Stage Feasibility Study","year":2023,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer survivorship and care","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Disease; Family medicine; Socioeconomic status; Cancer; Stage (stratigraphy); Breast cancer; Health care; Pandemic; Demographics; Internal medicine; Coronavirus disease 2019 (COVID-19); Demography; Population; Environmental health; Infectious disease (medical specialty)","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":[0.009025259,0.0006404772,0.0005866457,0.001144899,0.001900699,0.001260431,0.0006973287,0.0009546021,0.005615428],"category_scores_gemma":[0.01033033,0.0007766811,0.001360463,0.0008270458,0.0007718137,0.002049628,0.002063226,0.0015366,0.001263513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102816,"about_ca_system_score_gemma":0.003789531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002935212,"about_ca_topic_score_gemma":0.004992039,"domain_scores_codex":[0.9968219,0.001874731,0.0003007217,0.0002006207,0.000311979,0.0004900846],"domain_scores_gemma":[0.9934999,0.002224996,0.001142293,0.000575092,0.001353715,0.001203974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005681151,0.0412811,0.8427311,0.001377191,0.0002124754,0.001560173,0.03086567,0.0002856632,0.002502123,0.0006661012,0.00422951,0.06860773],"study_design_scores_gemma":[0.00403419,0.08891701,0.8335943,0.0005994848,0.000266827,0.001468026,0.0512898,0.00137677,0.001624051,0.0008407842,0.01578602,0.0002027703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834771,0.0001131593,0.0006975558,0.0004561185,0.0000368588,0.01270205,0.0007731392,0.000011767,0.001732378],"genre_scores_gemma":[0.958005,0.0004542722,0.00660301,0.001112705,0.00007756538,0.03117601,0.001041061,0.00001027391,0.001520172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009025259,"threshold_uncertainty_score":0.04773068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4272337286999855,"score_gpt":0.4378013554677072,"score_spread":0.01056762676772166,"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."}}