{"id":"W3092243224","doi":"10.1158/1078-0432.ccr-20-3292","title":"Project Orbis: Global Collaborative Review Program","year":2020,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excellence; Confidentiality; Center of excellence; Regulatory science; Marketing authorization; Global health; Program evaluation","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":[],"category_scores_codex":[0.2078926,0.001550686,0.002171832,0.006587865,0.003103275,0.0139315,0.005718365,0.004344797,0.107278],"category_scores_gemma":[0.1612901,0.0008957731,0.002189788,0.005032901,0.002950501,0.006050489,0.01567219,0.005852745,0.06068665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00585112,"about_ca_system_score_gemma":0.09057817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001331947,"about_ca_topic_score_gemma":0.001680671,"domain_scores_codex":[0.8293657,0.1111264,0.008269694,0.009213016,0.03564466,0.006380502],"domain_scores_gemma":[0.7048867,0.04929713,0.02603209,0.02955011,0.1422525,0.0479815],"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":[0.001261788,0.0002961874,0.0008330283,0.003779468,0.0001821678,0.0002138057,0.0003902205,0.0004850365,0.001240461,0.01324136,0.7468814,0.231195],"study_design_scores_gemma":[0.0005815809,0.0002334981,0.001127029,0.001684774,0.0000457713,0.0001838698,0.0001252537,0.0004121667,0.0003828921,0.004718575,0.9904723,0.00003235019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01021948,0.06288636,0.0992345,0.2324059,0.06881329,0.06278067,0.02407311,0.01538755,0.4241992],"genre_scores_gemma":[0.09445879,0.0381739,0.2089774,0.1048267,0.0391726,0.100472,0.04329616,0.008754128,0.3618685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2078926,"threshold_uncertainty_score":0.9768095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6066273559795285,"score_gpt":0.7039953562276421,"score_spread":0.09736800024811354,"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."}}