{"id":"W4313333156","doi":"10.1038/s41591-022-02132-3","title":"11 clinical trials that will shape medicine in 2023","year":2022,"lang":"en","type":"article","venue":"Nature Medicine","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Professional Engineers Ontario","funders":"","keywords":"Clinical trial; Medicine; Internal medicine; Intensive care medicine","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":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04029817,0.0004660884,0.002778698,0.001470633,0.0002811526,0.000007846251,0.0007898296,0.0005291848,0.02177484],"category_scores_gemma":[0.03138553,0.0002862268,0.0002908312,0.002982484,0.001509347,0.0001513249,0.0003420344,0.005137383,0.00004128834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000351062,"about_ca_system_score_gemma":0.0006251644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006359449,"about_ca_topic_score_gemma":0.0001735613,"domain_scores_codex":[0.9893948,0.001826405,0.002162183,0.001166964,0.004390007,0.00105964],"domain_scores_gemma":[0.9928223,0.004109353,0.000537495,0.0010821,0.0003233936,0.001125332],"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":[0.002988051,0.0009194158,0.2805351,0.0002927901,0.0002073809,0.003856662,0.002516911,0.000006021201,0.006920368,0.002143599,0.6015174,0.09809628],"study_design_scores_gemma":[0.03230307,0.00554456,0.2614179,0.001151286,0.0004633799,0.0008825089,0.008776447,0.001221568,0.0002166865,0.0008824131,0.686711,0.0004292189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6382378,0.03713111,0.00008421675,0.2707243,0.01126913,0.003219533,0.00003966026,0.0002543049,0.03903997],"genre_scores_gemma":[0.9492301,0.002267608,0.0001333853,0.02998052,0.00663816,0.0001607194,0.0002255039,0.00006121898,0.01130284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3109922,"threshold_uncertainty_score":0.999959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2270445713089297,"score_gpt":0.5373494749494903,"score_spread":0.3103049036405605,"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."}}