{"id":"W3084283345","doi":"10.1016/j.eclinm.2020.100535","title":"Gender differences in outcomes of cancer patients with COVID: Signal or noise?","year":2020,"lang":"en","type":"article","venue":"EClinicalMedicine","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"American Society of Clinical Oncology","keywords":"Medicine; Pandemic; Cancer; Coronavirus disease 2019 (COVID-19); Population; Palliative care; Family medicine; Health care; Medical emergency; Disease; Nursing; Internal medicine; Environmental health; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002272249,0.0001864165,0.0009745763,0.00009763982,0.00002497154,0.000003046669,0.000117108,0.0001146271,0.001825206],"category_scores_gemma":[0.001939387,0.00009800662,0.00006576008,0.000377184,0.0001827839,0.00004248416,0.00004216289,0.0003722621,0.00001172489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006927225,"about_ca_system_score_gemma":0.001026498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007738466,"about_ca_topic_score_gemma":0.0004272958,"domain_scores_codex":[0.9979622,0.0000580895,0.0007672085,0.0003326545,0.0005814316,0.0002983829],"domain_scores_gemma":[0.9977963,0.001002629,0.0002101146,0.0001986569,0.0001475332,0.0006447622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002727221,0.000377453,0.99085,0.0004584995,0.00009134371,0.00005545008,0.001000456,0.00000239734,0.00002398018,0.0000120835,0.0009041495,0.003496934],"study_design_scores_gemma":[0.009495487,0.003382801,0.9851694,0.0002882947,0.0001311068,7.975462e-7,0.0001448709,0.0000939732,0.00002298638,0.00002312194,0.001136697,0.0001104445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9479479,0.0002491443,0.0001128823,0.05078679,0.0001119993,0.0005592852,0.00003173589,0.00003580529,0.0001644486],"genre_scores_gemma":[0.9601094,0.0001572044,0.0001703849,0.03916113,0.0002478526,0.00001685298,0.00001923349,0.00001868098,0.00009928307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01216147,"threshold_uncertainty_score":0.9990873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2169072872820726,"score_gpt":0.4598563314108396,"score_spread":0.2429490441287671,"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."}}