{"id":"W4405070240","doi":"10.3390/curroncol31120564","title":"Longitudinal Assessment of FT3 to FT4 Conversion Ratio in Predicting the Efficacy of First-Line Pembrolizumab-Based Therapy in Advanced Non-Small Cell Lung Cancer: A Propensity-Score Matching Analysis of Data from the National Drug Monitoring Agency","year":2024,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Pembrolizumab; Internal medicine; Oncology; Propensity score matching; Cohort; Lung cancer; Cancer; Immunotherapy","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":[0.004666524,0.0002226257,0.0004228052,0.0006669299,0.0002989814,0.000574301,0.0003647957,0.0004444683,0.0006705086],"category_scores_gemma":[0.004662219,0.00020109,0.001072838,0.0007960951,0.0002216771,0.0004685565,0.0003715404,0.0005829312,0.0001680173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003016568,"about_ca_system_score_gemma":0.0003483908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001770739,"about_ca_topic_score_gemma":0.001535025,"domain_scores_codex":[0.9986001,0.0006537163,0.0001705838,0.000282804,0.0001826098,0.0001101901],"domain_scores_gemma":[0.9961676,0.001020641,0.001620816,0.0006895928,0.0002244123,0.0002768692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001384734,0.00006226433,0.9955832,0.000004982665,0.0003039276,0.00002113739,0.00002014132,0.0002287227,0.0003325691,0.00001936852,0.00005934939,0.001979488],"study_design_scores_gemma":[0.0000656855,0.0006740727,0.993537,0.00000358897,0.0002315598,0.0001247177,0.00004055053,0.004770922,0.0002246196,0.0000566267,0.0002629445,0.000007797293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992453,0.0001446011,0.0003016311,0.00002030246,0.000006586375,0.000009195487,0.0001727633,0.000002791888,0.00009678552],"genre_scores_gemma":[0.9995213,0.00003809271,0.00009536587,0.000008614516,0.000007020095,0.000006414653,0.0002655603,0.000001223981,0.00005645646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004666524,"threshold_uncertainty_score":0.02467924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.143381387266406,"score_gpt":0.4313357433631788,"score_spread":0.2879543560967728,"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."}}