{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01200372,0.001105606,0.002343119,0.01840257,0.00118281,0.006404188,0.003963644,0.00152185,0.01373032],"category_scores_gemma":[0.02728372,0.0008513713,0.001345282,0.01931174,0.000546076,0.0062583,0.007098401,0.002054923,0.01027042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002075805,"about_ca_system_score_gemma":0.0100975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007693703,"about_ca_topic_score_gemma":0.004167798,"domain_scores_codex":[0.9926488,0.001631626,0.002447259,0.00120366,0.001628808,0.000439797],"domain_scores_gemma":[0.9744324,0.007280583,0.003146812,0.006120228,0.005022081,0.003997853],"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":[0.002392488,0.000422842,0.03054463,0.00631166,0.0006547687,0.0009362238,0.0009505583,0.003209738,0.01197236,0.02962694,0.5926673,0.3203104],"study_design_scores_gemma":[0.0004993347,0.0003034984,0.02451072,0.001114236,0.000494424,0.001264992,0.0007635752,0.009113337,0.01080467,0.01141892,0.9394041,0.000308071],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0178029,0.009865366,0.1247141,0.006878219,0.001043778,0.002201925,0.7437186,0.0716625,0.02211265],"genre_scores_gemma":[0.03817454,0.004695618,0.1509514,0.001374156,0.0003128689,0.0013855,0.7972974,0.002754436,0.00305417],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01840257,"threshold_uncertainty_score":0.06348252,"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."}}