{"id":"W4393246464","doi":"10.1097/01.cot.0001011416.51657.a8","title":"New Emphasis on Strategies to Increase Diversity in Clinical Trials","year":2024,"lang":"en","type":"article","venue":"Oncology Times","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emphasis (telecommunications); Diversity (politics); Psychology; Political science; Computer science; Telecommunications; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4276368,0.002900859,0.003563593,0.006461142,0.007304237,0.03276936,0.01042484,0.03275223,0.03770974],"category_scores_gemma":[0.4338926,0.002469373,0.003774255,0.006290895,0.03393485,0.05010395,0.03418965,0.04840565,0.01182197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01451105,"about_ca_system_score_gemma":0.05079578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002828909,"about_ca_topic_score_gemma":0.004980513,"domain_scores_codex":[0.624745,0.2574441,0.01716047,0.02643868,0.06541883,0.008792977],"domain_scores_gemma":[0.3706766,0.4488988,0.02219936,0.0531372,0.05046539,0.0546226],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003183973,0.0003463647,0.001297344,0.00202898,0.0003231724,0.0001741379,0.003017977,0.0008987727,0.000582152,0.3299938,0.4521864,0.2088325],"study_design_scores_gemma":[0.0008034203,0.000358972,0.001167615,0.002506921,0.0001012861,0.0002770547,0.0007053918,0.0007311961,0.0002886535,0.1859705,0.8069762,0.0001128541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008105646,0.02228602,0.04849283,0.8707269,0.01659969,0.0008436158,0.0001541578,0.0006530618,0.03943308],"genre_scores_gemma":[0.02764203,0.01774635,0.07066943,0.8147815,0.03922819,0.004455092,0.000333719,0.000752523,0.02439104],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.5723631,"threshold_uncertainty_score":0.7058257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2980308675641286,"score_gpt":0.4684985563165247,"score_spread":0.170467688752396,"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."}}