{"id":"W4411918816","doi":"10.1016/s0140-6736(25)01279-6","title":"Tracking maturity of the enabling environment for clinical trials","year":2025,"lang":"en","type":"article","venue":"The Lancet","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Impact","funders":"World Health Organization","keywords":"Maturity (psychological); Tracking (education); Clinical trial; Medicine; Computer science; Internal medicine; Psychology; Developmental psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.001751271,0.00004164385,0.0002036312,0.000009927182,0.00002609288,0.000007497887,0.0001781801,0.00004739394,0.00001284101],"category_scores_gemma":[0.0003498433,0.00002142681,0.00008098389,0.00005338936,0.00003072034,0.00001157686,0.0000169873,0.0001182329,0.000001705711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001268475,"about_ca_system_score_gemma":0.000007059579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000182729,"about_ca_topic_score_gemma":5.810379e-7,"domain_scores_codex":[0.999522,0.00004910667,0.0002412172,0.00004822467,0.00004970997,0.00008975989],"domain_scores_gemma":[0.9992452,0.0004994567,0.00002604147,0.0002135938,0.00000438047,0.00001127883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001491263,0.000186478,0.004566365,0.003090417,0.0005974671,2.051744e-7,0.001079468,0.01880349,0.01848985,0.01307025,0.4291664,0.5108004],"study_design_scores_gemma":[0.001229826,0.00001717184,0.08906361,0.000263364,0.0001180858,5.998893e-7,0.00007029025,0.0209192,0.01308171,0.006050867,0.8690538,0.0001314299],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7687591,0.01014845,0.1696162,0.03194989,0.01358639,0.001793612,0.0001279451,0.0004601531,0.003558319],"genre_scores_gemma":[0.9977813,0.0004092953,0.0007134938,0.0001616558,0.0007656215,0.00002552956,0.000002313147,0.000005877813,0.0001349056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.510669,"threshold_uncertainty_score":0.08737602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1313258464591355,"score_gpt":0.3750614000023823,"score_spread":0.2437355535432468,"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."}}