{"id":"W2920935249","doi":"10.12688/gatesopenres.12912.2","title":"Highly Efficient Clinical Trials Simulator (HECT): Software application for planning and simulating platform adaptive trials","year":2019,"lang":"en","type":"preprint","venue":"Gates Open Research","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Bill and Melinda Gates Foundation","keywords":"Computer science; Simulation; Software; Clinical trial; Medicine; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007245221,0.001364179,0.0009120565,0.00111964,0.0003812926,0.002240648,0.003134173,0.00200816,0.06844744],"category_scores_gemma":[0.04447565,0.001432614,0.001370085,0.0009365446,0.0007040902,0.001468025,0.002324028,0.00244344,0.01488364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00118891,"about_ca_system_score_gemma":0.003729023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00507006,"about_ca_topic_score_gemma":0.004812586,"domain_scores_codex":[0.9976584,0.001281268,0.0003188313,0.000211666,0.0004137285,0.000116114],"domain_scores_gemma":[0.970731,0.02461031,0.0008670639,0.001198652,0.001941605,0.0006514057],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002639938,0.0003681916,0.007512169,0.003263204,0.0006951772,0.0009369181,0.0008518622,0.4121751,0.004387281,0.04089988,0.2923136,0.2339569],"study_design_scores_gemma":[0.00262156,0.0002375667,0.001411049,0.0005838868,0.000189266,0.0004221946,0.00006938029,0.7914569,0.005521677,0.05050465,0.1468186,0.0001631399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.005723823,0.0006503225,0.8029513,0.001564615,0.0003614402,0.001567739,0.01242411,0.1611407,0.01361605],"genre_scores_gemma":[0.1107616,0.001546615,0.812822,0.00290718,0.0002358888,0.007262585,0.01413882,0.03904551,0.01127979],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9927548,"threshold_uncertainty_score":0.2289795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9393052779707239,"score_gpt":0.7455081536449564,"score_spread":0.1937971243257676,"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."}}