{"id":"W4388899227","doi":"10.1200/go.23.00344","title":"Could We Have Improved on ADAURA? Refining Global Research Practices to Reduce Cancer Care Disparities","year":2023,"lang":"en","type":"article","venue":"JCO Global Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Refining (metallurgy); Medicine; Intensive care medicine; Materials science; Metallurgy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002679032,0.0001843473,0.0003753551,0.00009869146,0.0002828585,0.00004754858,0.00016058,0.000226504,0.00008695152],"category_scores_gemma":[0.0006587066,0.0001521431,0.00007551427,0.0008591865,0.0001273758,0.0000947318,0.0001449935,0.0003196397,0.0002870807],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005045961,"about_ca_system_score_gemma":0.002011661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01462925,"about_ca_topic_score_gemma":0.01492523,"domain_scores_codex":[0.9979699,0.0001533938,0.0002637986,0.0005265826,0.0004132348,0.0006730405],"domain_scores_gemma":[0.9984709,0.0002406089,0.0001548539,0.0003423946,0.0004766219,0.0003146036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00501848,0.0007657337,0.1213459,0.0004053615,0.0009843518,0.001380097,0.004874943,0.0002739646,0.001287884,0.01099208,0.4353716,0.4172996],"study_design_scores_gemma":[0.003112604,0.004290877,0.09966132,0.0003077161,0.0003421746,0.00006290889,0.01449877,0.00008905736,0.0002150425,0.000450331,0.876744,0.0002251906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5936388,0.003304541,0.000005371956,0.1610198,0.002135099,0.001220105,0.001053629,0.0003224734,0.2373003],"genre_scores_gemma":[0.9862359,0.000689994,0.0006354831,0.003023326,0.0006790237,0.0007460534,0.0001520962,0.00002308206,0.007815054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4413724,"threshold_uncertainty_score":0.9987735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1621540335148205,"score_gpt":0.5802390929223848,"score_spread":0.4180850594075644,"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."}}