{"id":"W2809360362","doi":"10.4212/cjhp.v51i4.1960","title":"A new tube set for use with an automated compounder","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Tube (container); Computer science; Materials science; Programming language; Composite material","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":[0.0001217775,0.0001433016,0.0001350428,0.0001031233,0.0001525073,0.0001684166,0.0002902338,0.00002280645,0.00007731391],"category_scores_gemma":[0.00001708217,0.0001066506,0.00004642762,0.0001260181,0.00007499573,0.0004816311,0.000005520275,0.0002200632,0.00001168876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002067053,"about_ca_system_score_gemma":0.0002642287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002776558,"about_ca_topic_score_gemma":0.004155007,"domain_scores_codex":[0.9993073,0.00001464489,0.0001811725,0.00006960763,0.0001168567,0.0003103578],"domain_scores_gemma":[0.9991443,0.00003871899,0.00004832755,0.0001347594,0.0001127335,0.0005212125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004869915,0.00009028364,0.01744831,0.0001497808,0.00232255,0.0006358373,0.03671592,0.5493349,0.02426318,0.001261842,0.3575226,0.009767826],"study_design_scores_gemma":[0.005375761,0.003558241,0.006213231,0.00024983,0.0002076978,0.0008430766,0.0008230458,0.7167144,0.03026846,0.0002099439,0.2344098,0.001126485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920257,0.0002658355,0.005553991,0.0003231598,0.0011515,0.0002016088,0.00001709111,0.0001809008,0.0002801631],"genre_scores_gemma":[0.9889504,0.000002435502,0.01027472,0.00009147518,0.0005563268,0.000002506159,0.000003982085,0.00006349516,0.00005461108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1673796,"threshold_uncertainty_score":0.4349085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104797199294483,"score_gpt":0.2807620594207491,"score_spread":0.2597140874278043,"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."}}