{"id":"W2887738187","doi":"10.4212/cjhp.v51i3.1944","title":"A study of discrepancies in the MeditrolTM system","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Information retrieval; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.003262996,0.00006623776,0.0001627246,0.0002180019,0.0002507698,0.0001296775,0.001371602,0.00001250821,0.00007701558],"category_scores_gemma":[0.0004013647,0.00003007175,0.00007234164,0.0007083649,0.0002115964,0.0001747309,0.00002167988,0.000162469,0.00001705053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000594449,"about_ca_system_score_gemma":0.0003230418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0154538,"about_ca_topic_score_gemma":0.04740128,"domain_scores_codex":[0.9982297,0.0002169686,0.0006324321,0.00008777103,0.0006915789,0.0001415252],"domain_scores_gemma":[0.998164,0.0004298491,0.0004183743,0.0003485137,0.0005199408,0.0001193451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001776404,0.001110766,0.4408901,0.00001562703,0.0002532842,0.0003581175,0.2631547,0.0007194627,0.000315915,0.0746378,0.1786388,0.03972785],"study_design_scores_gemma":[0.004768558,0.004425354,0.366705,0.0001492803,0.0002221224,0.0003173453,0.3093848,0.003304026,0.002080712,0.04136249,0.2667391,0.0005412034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884255,0.00009188778,0.0001106012,0.008441057,0.0003177408,0.0003324408,0.000008133396,0.00000358885,0.002269055],"genre_scores_gemma":[0.9994546,0.000001173868,0.00003549231,0.0001631962,0.0002895694,0.000007797999,1.209216e-7,0.000004334758,0.00004369113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08810035,"threshold_uncertainty_score":0.9911024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.124751320059878,"score_gpt":0.4287429204776212,"score_spread":0.3039916004177433,"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."}}