{"id":"W4317207866","doi":"10.3390/curroncol30020107","title":"X or Y Cancer: An Extensive Analysis of Sex Differences in Lung Adenocarcinoma","year":2023,"lang":"en","type":"article","venue":"Current Oncology","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Uniwersytet Medyczny w Lodzi","keywords":"Adenocarcinoma; Lung cancer; Biology; Immune system; Cancer; Somatic cell; Oncology; Disease; Hazard ratio; Proportional hazards model; Survival analysis; Medicine; Bioinformatics; Internal medicine; Gene; Immunology; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.00011269,0.00008707056,0.0002634845,0.0002216034,0.00002857834,0.000004803591,0.0001691328,0.00009476854,0.00008758189],"category_scores_gemma":[0.00003038585,0.00007111788,0.00007025177,0.000706955,0.00007842203,0.000002816977,0.00005764366,0.00006501668,0.000002222062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003925997,"about_ca_system_score_gemma":0.0001800778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001036894,"about_ca_topic_score_gemma":0.00125599,"domain_scores_codex":[0.9991605,0.00008958568,0.0002126785,0.0002910835,0.00007086908,0.0001753018],"domain_scores_gemma":[0.9994932,0.00002136163,0.00009530704,0.0002512421,0.00008986488,0.00004900818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001146995,0.000205068,0.9030468,0.00003114398,0.0002881236,0.000005551742,0.0005482393,0.0003591483,0.02738857,0.0000670286,0.001602888,0.06634275],"study_design_scores_gemma":[0.0004421686,0.0003150437,0.9765838,0.00001053874,0.000237832,0.000001129541,0.0008572067,0.007249307,0.002958205,0.00002057924,0.01118282,0.0001413818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956899,0.003543644,0.0001194204,0.000121641,0.0002541197,0.0001073388,0.00006205324,0.000008341312,0.00009354182],"genre_scores_gemma":[0.9954519,0.003812661,0.00002100995,0.00003076845,0.0000964967,0.0001109899,0.0002114538,0.000006634122,0.0002580716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07353701,"threshold_uncertainty_score":0.2900103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1213752292515151,"score_gpt":0.4241973817078413,"score_spread":0.3028221524563263,"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."}}