{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1790325,0.00120079,0.002135552,0.002622164,0.003895317,0.0121216,0.003917063,0.009775943,0.01787809],"category_scores_gemma":[0.2592087,0.0008979608,0.003927986,0.002247701,0.007758139,0.01629186,0.01112615,0.02195137,0.002857274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009561101,"about_ca_system_score_gemma":0.04713241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01420877,"about_ca_topic_score_gemma":0.02754623,"domain_scores_codex":[0.8926223,0.08031357,0.006115613,0.004851931,0.009680077,0.00641644],"domain_scores_gemma":[0.7547293,0.1227301,0.01706342,0.02483558,0.04384843,0.03679316],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002338233,0.002113377,0.03040452,0.006446284,0.004021889,0.0002515509,0.006046978,0.001393639,0.002050841,0.07324094,0.4318384,0.4398532],"study_design_scores_gemma":[0.003781649,0.002168348,0.02792884,0.01814073,0.003873169,0.0001791504,0.008113562,0.0009402847,0.002659271,0.08336387,0.8484116,0.0004395699],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.00378931,0.009777945,0.002287832,0.9685695,0.01023186,0.0001811104,0.0002764647,0.000175051,0.004710853],"genre_scores_gemma":[0.06613173,0.009907148,0.02339521,0.8870058,0.007655087,0.0007562909,0.0003478147,0.0002626785,0.004538308],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8209675,"threshold_uncertainty_score":0.9468258,"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."}}