{"id":"W4410880804","doi":"10.2196/72015","title":"Seek and Ye Shall Not Find (Yet): Searching Clinical Trial Registries for Trials Designed With Patients—A Call to Action","year":2025,"lang":"en","type":"article","venue":"Journal of Participatory Medicine","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clinical trial; Plain language; Medicine; Call to action; Alternative medicine; Action (physics); Perspective (graphical); Computer science; Pathology; Artificial intelligence; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0461005,0.000203566,0.001646579,0.0003858219,0.0001522621,0.00003304616,0.0002165111,0.0003362337,0.00004971613],"category_scores_gemma":[0.2437156,0.0001246248,0.0002287131,0.0003123814,0.0006257176,0.0001165099,0.00007912552,0.001787003,0.000002979403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001559375,"about_ca_system_score_gemma":0.001639338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002528158,"about_ca_topic_score_gemma":0.0000998164,"domain_scores_codex":[0.9935749,0.001224822,0.002905553,0.0003764119,0.001475795,0.0004424915],"domain_scores_gemma":[0.9458054,0.0496123,0.00093744,0.0004565778,0.00222158,0.0009667491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8077828,0.002015134,0.08820198,0.001524078,0.001659457,0.0002006338,0.002026122,0.00003904754,0.004290116,0.002992065,0.04633819,0.04293035],"study_design_scores_gemma":[0.5148219,0.141365,0.2789101,0.01179803,0.004780148,0.0000726825,0.00224472,0.0005950864,0.005381945,0.007506758,0.03193867,0.0005849173],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559326,0.0001955496,0.009666111,0.03107972,0.001113914,0.001798462,0.000007740328,0.00001347529,0.0001923876],"genre_scores_gemma":[0.9896741,0.0003027692,0.003152021,0.003408821,0.001657882,0.00006311075,0.000004490028,0.00002794345,0.001708885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2929609,"threshold_uncertainty_score":0.9822403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8864921908252845,"score_gpt":0.7125387417963429,"score_spread":0.1739534490289416,"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."}}