{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001683406,0.002031136,0.002046331,0.002408675,0.001683817,0.001711545,0.003248169,0.001989172,0.08620271],"category_scores_gemma":[0.008922425,0.001955339,0.001238329,0.001178249,0.0006545621,0.002512047,0.003447206,0.001597465,0.01941548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007327477,"about_ca_system_score_gemma":0.002260478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001956456,"about_ca_topic_score_gemma":0.003147988,"domain_scores_codex":[0.997981,0.0001884556,0.0002346641,0.0003561901,0.001131246,0.0001084369],"domain_scores_gemma":[0.9940928,0.001881478,0.0002498298,0.0009703779,0.002365053,0.0004405649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002643414,0.000759097,0.006273532,0.001151738,0.0002214222,0.001290766,0.0005553036,0.007757793,0.2093511,0.005882609,0.09691222,0.667201],"study_design_scores_gemma":[0.0007640023,0.002251162,0.008422576,0.0002706565,0.0004436631,0.003811136,0.000295049,0.2369352,0.433647,0.00572393,0.3064153,0.001020332],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03175129,0.0004312778,0.7948305,0.0008996414,0.001084651,0.002458873,0.006365626,0.1512102,0.01096792],"genre_scores_gemma":[0.09281658,0.0002461134,0.8575745,0.0009334978,0.0002631503,0.00231152,0.006165403,0.009772589,0.02991663],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08620271,"threshold_uncertainty_score":0.2883768,"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."}}