{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3723999,0.0008651871,0.002036421,0.001450321,0.01230151,0.02529163,0.005162125,0.04014316,0.01034974],"category_scores_gemma":[0.5283124,0.001461692,0.00211208,0.001769936,0.03564322,0.02464812,0.02157803,0.04157406,0.006589123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006342596,"about_ca_system_score_gemma":0.04774531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001765095,"about_ca_topic_score_gemma":0.002356244,"domain_scores_codex":[0.5216528,0.414536,0.01945684,0.009696726,0.02718635,0.007471396],"domain_scores_gemma":[0.2470431,0.6273929,0.03963557,0.03534054,0.02356173,0.02702615],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003628849,0.0003057905,0.003223012,0.002377545,0.0001808728,0.001458417,0.04754305,0.0003604739,0.001367957,0.1605264,0.6582215,0.1240721],"study_design_scores_gemma":[0.0002938205,0.0002523795,0.001296338,0.005022216,0.0001337596,0.002051297,0.02233466,0.0008471688,0.001432281,0.1125203,0.8534777,0.0003381151],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00122633,0.001651421,0.006335269,0.9825695,0.003221029,0.0001417488,0.0000275429,0.00009837346,0.004728781],"genre_scores_gemma":[0.04808949,0.002672528,0.03056704,0.9076216,0.003956234,0.001170658,0.00006548783,0.0002224505,0.005634601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6276001,"threshold_uncertainty_score":0.7739427,"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."}}