{"id":"W7073536288","doi":"","title":"Cluster randomised trial in the General Practice Research Database: 1. Electronic decision support to reduce antibiotic prescribing in primary care (eCRT study)","year":2011,"lang":"en","type":"article","venue":"Research Portal (King's College London)","topic":"Legal Rights and Human Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health","funders":"","keywords":"Cluster randomised controlled trial; Intervention (counseling); Medical record; Cluster (spacecraft); Protocol (science); Randomized controlled trial; Clinical trial; Health services research; Research design; General practice","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":["metaresearch","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.04232232,0.0003168205,0.0006137141,0.001558083,0.002087052,0.0005620652,0.002194652,0.0002480821,0.0005867516],"category_scores_gemma":[0.004113721,0.0002172112,0.000154983,0.003275753,0.0006551563,0.001515653,0.00065272,0.002679641,0.0001526997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147424,"about_ca_system_score_gemma":0.005095895,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02552507,"about_ca_topic_score_gemma":0.1430354,"domain_scores_codex":[0.9807501,0.008838615,0.001067059,0.001249936,0.005437102,0.002657158],"domain_scores_gemma":[0.9933006,0.00385321,0.0001571764,0.001161841,0.001097681,0.000429511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.3675305,0.008303944,0.00421162,0.0001968484,0.0001958476,0.0104295,0.4162748,0.00001821091,0.0005203586,0.1476366,0.03888245,0.005799396],"study_design_scores_gemma":[0.3832999,0.01278427,0.02166806,0.001150656,0.0001404087,0.0000825035,0.2439971,0.0001050791,0.0008941274,0.009061263,0.3247317,0.002085008],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8377984,0.0002584535,0.000006663828,0.0008394844,0.0003651946,0.01204138,0.00002744036,0.00003873985,0.1486243],"genre_scores_gemma":[0.9934282,0.0001922412,0.0004090166,0.0002072843,0.0008592141,0.0004669856,0.00004544625,0.0000521147,0.004339455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2858492,"threshold_uncertainty_score":0.9996212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1206000945904515,"score_gpt":0.4309365869739099,"score_spread":0.3103364923834584,"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."}}