{"id":"W3118763175","doi":"10.3390/curroncol28010036","title":"Real World Analysis of Small Cell Lung Cancer Patients: Prognostic Factors and Treatment Outcomes","year":2021,"lang":"en","type":"article","venue":"Current Oncology","topic":"Lung Cancer Research Studies","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Lung cancer; Oncology; Internal medicine; Cancer; Intensive care medicine; Bioinformatics","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":[0.00005460133,0.0001577737,0.0007851023,0.0002959663,0.00004430726,0.000005455432,0.00004311383,0.00004034468,0.0001618678],"category_scores_gemma":[0.0001522743,0.000104973,0.0001647181,0.0006141455,0.0001081945,0.00002036266,0.00009631993,0.0001127375,8.514484e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008735986,"about_ca_system_score_gemma":0.0004377282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005992629,"about_ca_topic_score_gemma":0.007470502,"domain_scores_codex":[0.9988915,0.00008969798,0.0002713339,0.000298482,0.0001874278,0.0002615051],"domain_scores_gemma":[0.9988908,0.0003843291,0.0001151449,0.0001780411,0.0002973076,0.0001343608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004984011,0.001321982,0.9846582,0.0002112916,0.002220788,0.00001471405,0.001144087,0.000004352536,0.00004548926,0.00001274654,0.0003982673,0.009918218],"study_design_scores_gemma":[0.001954139,0.0005357174,0.9857711,0.00005065613,0.004758206,1.597621e-7,0.0001942378,0.0001578453,0.0004368534,0.000002162527,0.006058509,0.00008044706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927737,0.00479805,0.000004528903,0.0004122811,0.0003544946,0.0004601711,0.00009694404,0.00001759496,0.001082313],"genre_scores_gemma":[0.9931221,0.005672118,0.00007011422,0.00002121853,0.00004480878,0.0001505246,0.0001443199,0.00001071595,0.0007640547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009837771,"threshold_uncertainty_score":0.4280674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1051696614156578,"score_gpt":0.4555679916574566,"score_spread":0.3503983302417988,"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."}}