{"id":"W4206561238","doi":"10.2196/28696","title":"Patient Recruitment System for Clinical Trials: Mixed Methods Study About Requirements at Ten University Hospitals","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workflow; Patient recruitment; Medicine; Clinical trial; Computer science; Database","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":[],"category_scores_codex":[0.1262958,0.0006660821,0.001131532,0.002543838,0.004420736,0.00505805,0.002082012,0.002460706,0.003591899],"category_scores_gemma":[0.1603477,0.001393771,0.001092232,0.002599423,0.0023509,0.002555456,0.003967413,0.002367152,0.0007554924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009245042,"about_ca_system_score_gemma":0.01490087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003529429,"about_ca_topic_score_gemma":0.006127016,"domain_scores_codex":[0.8716339,0.09920488,0.01039139,0.004069796,0.008814231,0.00588582],"domain_scores_gemma":[0.7358956,0.1980811,0.03067702,0.006674666,0.0168775,0.01179417],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.003097758,0.01120002,0.3797113,0.003169953,0.0002629184,0.001987941,0.4858924,0.0008327849,0.003595845,0.001636696,0.002532228,0.1060802],"study_design_scores_gemma":[0.001401246,0.01817997,0.4431998,0.002377291,0.0003277729,0.001262929,0.507323,0.00494865,0.004319412,0.001075117,0.01516504,0.0004198219],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994217,0.0002417096,0.001749183,0.0004968551,0.000009716059,0.002529411,0.0001192959,0.00002141427,0.000615378],"genre_scores_gemma":[0.983051,0.0003368251,0.008298607,0.001213203,0.00002761851,0.00626989,0.0001602342,0.000034657,0.0006079689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8737042,"threshold_uncertainty_score":0.6679241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5735287685446242,"score_gpt":0.6308718568937189,"score_spread":0.05734308834909474,"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."}}