{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02610162,0.0002606625,0.00139961,0.0001061883,0.0001935565,0.00004065611,0.0002115031,0.00035827,0.0004402821],"category_scores_gemma":[0.04238193,0.0002103569,0.0005378351,0.0003286178,0.0001134574,0.000311433,0.0005402985,0.0004982439,0.00008988953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007172624,"about_ca_system_score_gemma":0.0008873498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001430677,"about_ca_topic_score_gemma":0.00002312605,"domain_scores_codex":[0.9885893,0.00309982,0.006009636,0.0003350571,0.001537731,0.0004284476],"domain_scores_gemma":[0.9858531,0.00987988,0.001851462,0.0007408,0.0008472087,0.0008275352],"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":[0.001776108,0.002826851,0.01280452,0.000992635,0.001386254,0.0002237525,0.004476289,0.000001709219,0.00003336941,0.0001878428,0.07532596,0.8999647],"study_design_scores_gemma":[0.04091563,0.007616863,0.02965642,0.001213699,0.003250431,0.0001772219,0.2621355,0.01133718,0.0007176566,0.0000477957,0.6422384,0.0006932791],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413285,0.0001523367,0.03771387,0.003626477,0.003601576,0.01163965,0.0001244025,0.0002281559,0.001585029],"genre_scores_gemma":[0.5977651,0.00107347,0.3816579,0.01186833,0.001990348,0.001263569,0.002007526,0.0001403002,0.002233419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8992714,"threshold_uncertainty_score":0.9656845,"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."}}