{"id":"W1995484363","doi":"10.1108/02635571211193680","title":"Evaluating clinical trial management systems: a simulation approach","year":2012,"lang":"en","type":"article","venue":"Industrial Management & Data Systems","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Process (computing); Management science; Originality; Process management; Information system; Risk analysis (engineering); Clinical trial; Dilemma; Task (project management); Identification (biology); System dynamics; Knowledge management; Operations research; Systems engineering; Qualitative research; Engineering; Artificial intelligence; Medicine","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","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.04736176,0.0006417249,0.001498017,0.000507105,0.001221877,0.0001844647,0.00211726,0.001073054,0.00009728045],"category_scores_gemma":[0.000980984,0.0005807836,0.0001659065,0.000984662,0.00007308022,0.001263462,0.00201444,0.002015908,0.001652785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001406222,"about_ca_system_score_gemma":0.0003957685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001628005,"about_ca_topic_score_gemma":0.00001032501,"domain_scores_codex":[0.9766157,0.01140802,0.005639447,0.001567498,0.002084027,0.002685296],"domain_scores_gemma":[0.9899462,0.002271709,0.002513384,0.004312851,0.0002173661,0.0007384704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.03391486,0.004774339,0.06087996,0.02407767,0.006249411,0.00007100702,0.002161478,0.02947037,0.000004589241,0.09095069,0.5938432,0.1536025],"study_design_scores_gemma":[0.0660497,0.0005767881,0.0006152591,0.001752156,0.0007245311,0.000004897073,0.01035238,0.1685389,3.546876e-8,0.00001178612,0.7506478,0.0007256993],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.160028,0.00821827,0.08261174,0.0006583674,0.2537566,0.1706515,0.001203996,0.003083669,0.3197879],"genre_scores_gemma":[0.9440839,0.0001723986,0.001101822,0.0002165747,0.03402586,0.005182202,0.001895194,0.0001907734,0.01313125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7840559,"threshold_uncertainty_score":0.9996644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8094295835606408,"score_gpt":0.6288543712672953,"score_spread":0.1805752122933455,"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."}}