{"id":"W4362473272","doi":"10.3390/cancers15072096","title":"Disparity and Diversity in NSCLC Imaging and Genomics: Evaluation of a Mature, Multicenter Database","year":2023,"lang":"en","type":"article","venue":"Cancers","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Women's College Hospital; University of Toronto; University Health Network; Mount Sinai Hospital","funders":"American Association for Cancer Research","keywords":"KRAS; STK11; Medicine; Stage (stratigraphy); Cancer; Database; Internal medicine; Oncology; Lung cancer; Biology; Colorectal cancer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01229189,0.0004142312,0.001035051,0.003098608,0.0006584793,0.001721509,0.001867367,0.0008910372,0.001206935],"category_scores_gemma":[0.02923439,0.0003468475,0.0009381308,0.005345378,0.0005265059,0.001648058,0.003421626,0.0007670343,0.0004022514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001385229,"about_ca_system_score_gemma":0.001762074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01143385,"about_ca_topic_score_gemma":0.01117833,"domain_scores_codex":[0.9911649,0.004021119,0.001399505,0.00178653,0.001100459,0.0005274556],"domain_scores_gemma":[0.9828889,0.005374565,0.004916865,0.002859317,0.002525053,0.001435275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008128011,0.000216124,0.9885156,0.0001517264,0.0003419534,0.0001096443,0.0004399936,0.0006262678,0.0001843163,0.0002928656,0.003104145,0.005204685],"study_design_scores_gemma":[0.0001953111,0.0002982985,0.9906054,0.00009333659,0.0001919081,0.0003120496,0.001043111,0.003655549,0.0001510703,0.0001930995,0.003234833,0.00002614375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9621193,0.0002581937,0.0005857955,0.0004055767,0.00001379607,0.0002998943,0.03574847,0.00002359398,0.0005453779],"genre_scores_gemma":[0.9054705,0.0002216633,0.002522619,0.0002142773,0.00003906461,0.0008004557,0.0905617,0.00002332056,0.0001464585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01229189,"threshold_uncertainty_score":0.06500649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03947225731470985,"score_gpt":0.35680610025369,"score_spread":0.3173338429389801,"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."}}