{"id":"W4389849926","doi":"10.1016/j.cct.2023.107416","title":"Advancing Inclusive Research (AIR) Site Alliance: Facilitating the inclusion of historically underrepresented people in oncology and ophthalmology clinical research","year":2023,"lang":"en","type":"article","venue":"Contemporary Clinical Trials","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Genentech; F. Hoffmann-La Roche; Roche","keywords":"Medicine; Inclusion (mineral); Alliance; Underrepresented Minority; Medical education; Clinical Oncology; Family medicine; Gerontology; Oncology; Internal medicine","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","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2073645,0.0005849414,0.0007104117,0.002284683,0.01223542,0.01106825,0.004100796,0.004271234,0.03000436],"category_scores_gemma":[0.1838258,0.0008318503,0.001093067,0.001987316,0.006387513,0.01211466,0.03979509,0.006662992,0.007098213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004005645,"about_ca_system_score_gemma":0.06359048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002107157,"about_ca_topic_score_gemma":0.01028359,"domain_scores_codex":[0.801994,0.1725807,0.004841827,0.003432233,0.01117823,0.005973016],"domain_scores_gemma":[0.6570087,0.1856522,0.0171677,0.0358219,0.02567886,0.07867064],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009980074,0.001509826,0.02121561,0.002505132,0.0001105565,0.001604328,0.07313263,0.0004981151,0.002949664,0.03341269,0.3187222,0.5433413],"study_design_scores_gemma":[0.0008038791,0.001316022,0.01064238,0.00284845,0.00009252966,0.001016065,0.04742654,0.001028763,0.002906105,0.03600586,0.8957462,0.0001671742],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2426705,0.01008754,0.1257161,0.352914,0.007163717,0.02581523,0.004042642,0.004841854,0.2267484],"genre_scores_gemma":[0.5244157,0.004709136,0.290218,0.09330487,0.002272306,0.03511383,0.002407338,0.00137465,0.04618416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9958992,"threshold_uncertainty_score":0.9774607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9027052951843897,"score_gpt":0.7572217820700461,"score_spread":0.1454835131143436,"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."}}