{"id":"W4390757470","doi":"10.1158/1538-7445.dnarepair24-ia003","title":"Abstract IA003: Molecular and imaging biomarkers of PARP inhibitors for small cell lung cancer","year":2024,"lang":"en","type":"article","venue":"Cancer Research","topic":"Lung Cancer Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Lung cancer; Medicine; Context (archaeology); PARP inhibitor; Cancer; Cancer research; Liquid biopsy; Positron emission tomography; Biomarker; Oncology; Poly ADP ribose polymerase; Bioinformatics; Pathology; Internal medicine; Nuclear medicine; DNA; Biology; Genetics","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":[0.0008402862,0.0007452839,0.0004304701,0.001382129,0.0002307735,0.001717393,0.000518679,0.001293349,0.015619],"category_scores_gemma":[0.001194307,0.0001847041,0.0003502092,0.0007605307,0.0002080814,0.0005843193,0.0004425993,0.001119787,0.007247659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001057789,"about_ca_system_score_gemma":0.0006740987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006736558,"about_ca_topic_score_gemma":0.0009515066,"domain_scores_codex":[0.9997175,0.00008751464,0.00001589513,0.00002685965,0.000122774,0.00002946154],"domain_scores_gemma":[0.9997513,0.00006344553,0.00003889151,0.000009282928,0.00007574897,0.00006138752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00192663,0.0002590746,0.00790298,0.002035238,0.0001065252,0.001072336,0.00006974827,0.0005277833,0.06659763,0.006083101,0.405121,0.508298],"study_design_scores_gemma":[0.0004156964,0.002979307,0.0435178,0.0009600904,0.0002655429,0.007714628,0.0001536082,0.002401078,0.07805696,0.00572246,0.857688,0.00012495],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.08236216,0.5149429,0.03027095,0.06967707,0.01545194,0.001673391,0.01724141,0.005946641,0.2624335],"genre_scores_gemma":[0.393346,0.2189569,0.04121573,0.02071825,0.01005057,0.001403754,0.02569981,0.0006172604,0.2879917],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.015619,"threshold_uncertainty_score":0.0522508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04924374847328876,"score_gpt":0.4434771862253096,"score_spread":0.3942334377520209,"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."}}