{"id":"W2099781195","doi":"10.3390/pharmacy3040284","title":"An Algorithm to Identify Compounded Non-Sterile Products that Can Be Formulated on a Commercial Scale or Imported to Promote Safer Medication Use in Children","year":2015,"lang":"en","type":"article","venue":"Pharmacy","topic":"Pharmaceutical studies and practices","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"SAFER; Factoring; Identification (biology); Risk analysis (engineering); Computer science; Rubric; Medicine; Drug; Scale (ratio); Business; Algorithm; Pharmacology; Mathematics; Computer security; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.002715599,0.001750098,0.001378418,0.004553636,0.001578911,0.00355875,0.002195655,0.001984669,0.009058037],"category_scores_gemma":[0.01080544,0.0005089241,0.001995,0.002043619,0.0005889281,0.001706878,0.001953917,0.001181432,0.003511595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618392,"about_ca_system_score_gemma":0.005530123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008221691,"about_ca_topic_score_gemma":0.008705593,"domain_scores_codex":[0.997718,0.0003713255,0.0003241951,0.0006687589,0.0006381838,0.0002795227],"domain_scores_gemma":[0.9960325,0.001554023,0.0004018032,0.0002166483,0.001559656,0.0002353344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001200079,0.001225948,0.08748668,0.0008401115,0.0004558099,0.001094295,0.0004699982,0.0793405,0.01173453,0.008962253,0.04134592,0.7658439],"study_design_scores_gemma":[0.0004849165,0.0005823986,0.01447002,0.0003504278,0.0004534599,0.001493989,0.0004949668,0.9079553,0.01488989,0.01423815,0.04446048,0.0001259931],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08399635,0.0009701817,0.8772179,0.00211819,0.0002739655,0.004394536,0.004446388,0.009338509,0.01724393],"genre_scores_gemma":[0.1089954,0.0002570497,0.8793314,0.0004812242,0.00006891373,0.001172578,0.005550953,0.0002193929,0.003923156],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009058037,"threshold_uncertainty_score":0.03030211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1997367472588513,"score_gpt":0.461416276345968,"score_spread":0.2616795290871167,"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."}}