{"id":"W3048997450","doi":"10.1158/1538-7445.am2020-5489","title":"Abstract 5489: The cost of delaying therapy for advanced non-small cell lung cancer (NSCLC): a population kinetics assessment","year":2020,"lang":"en","type":"article","venue":"Cancer Research","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Placebo; Subgroup analysis; Population; Internal medicine; Lung cancer; Oncology; Survival analysis; Surgery; Confidence interval; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007360483,0.0001217871,0.0002628693,0.00007089957,0.0001598693,0.00003454937,0.0002263311,0.00006158834,0.0001490755],"category_scores_gemma":[0.0001841372,0.00008430428,0.00009282957,0.0003072993,0.00009800914,0.00004351975,0.00005359088,0.0007558813,0.000001021105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002259943,"about_ca_system_score_gemma":0.0004166625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008859796,"about_ca_topic_score_gemma":0.00002562783,"domain_scores_codex":[0.9984041,0.00006381366,0.0002936568,0.0002877414,0.0005528196,0.0003978776],"domain_scores_gemma":[0.9987824,0.0003384501,0.000114261,0.0002244384,0.000343174,0.0001973092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000846019,0.0001677891,0.0835797,0.001238716,0.0001379549,0.00001140148,0.001620334,0.00993144,0.5952956,0.00008738639,0.005346402,0.3017372],"study_design_scores_gemma":[0.01596527,0.001521103,0.483597,0.001939818,0.000197335,0.000004787331,0.001465362,0.3655244,0.08027028,0.0001444061,0.04879363,0.0005766304],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664893,0.00371476,0.008672819,0.0178818,0.0001827721,0.002192795,0.00002519522,0.00002273662,0.0008178603],"genre_scores_gemma":[0.9933624,0.002326669,0.001911862,0.001120792,0.0004842015,0.0005899828,0.00002874248,0.00004619706,0.0001291486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5150254,"threshold_uncertainty_score":0.3437829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0680414398346201,"score_gpt":0.4605811052727986,"score_spread":0.3925396654381784,"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."}}