{"id":"W4224287249","doi":"10.2196/35020","title":"The Cancer Research Database (CRDB): Integrated Platform to Gain Statistical Insight Into the Correlation Between Cancer and COVID-19","year":2022,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Database; Computer science; Cancer; Database design; Online database; Database schema; Medicine","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001787246,0.0001981995,0.000297711,0.0002045421,0.001869753,0.00008883502,0.0002533481,0.00008243092,0.001519388],"category_scores_gemma":[0.001112223,0.0001174415,0.00003650577,0.001100108,0.0003108692,0.0001117265,0.0004098449,0.001391043,0.00001411129],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004038514,"about_ca_system_score_gemma":0.006352318,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.14618,"about_ca_topic_score_gemma":0.0707693,"domain_scores_codex":[0.9971097,0.0003096994,0.0003798846,0.0005021917,0.00105799,0.0006406035],"domain_scores_gemma":[0.996176,0.002127093,0.00009402811,0.0005434267,0.0002771005,0.0007823732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003904782,0.00009861602,0.157015,0.0005774659,0.0002207021,0.0001124235,0.04395641,0.0008479539,0.0007890065,0.003874786,0.4723085,0.3162943],"study_design_scores_gemma":[0.001219391,0.0003573662,0.07961407,0.0001261978,0.00006378721,0.000007317888,0.002478141,0.001709025,0.00008735676,0.0003998406,0.9137625,0.0001750282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5467408,0.01579671,0.003773264,0.4213019,0.001231787,0.006499783,0.003850271,0.0001679922,0.0006375547],"genre_scores_gemma":[0.9664246,0.002713195,0.00006914446,0.02263825,0.0007944395,0.004549949,0.0002482186,0.00005214763,0.002509987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.441454,"threshold_uncertainty_score":0.9997848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2064598993577828,"score_gpt":0.5286241418291472,"score_spread":0.3221642424713644,"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."}}