{"id":"W2891480044","doi":"10.4212/cjhp.v48i5.2327","title":"Pharmaceutica1 Calculations (Third Edition)","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Pharmaceutical studies and practices","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Information retrieval; Computer science; Library science; Data 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001611012,0.001993523,0.001275087,0.003370808,0.001322298,0.002406471,0.002684377,0.001486262,0.1096201],"category_scores_gemma":[0.009320948,0.001265134,0.002613249,0.004207639,0.0002773569,0.001638312,0.001139018,0.002101652,0.07723659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002801284,"about_ca_system_score_gemma":0.003749344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04161849,"about_ca_topic_score_gemma":0.02957802,"domain_scores_codex":[0.9969199,0.0003754948,0.000177182,0.0003804406,0.001852242,0.0002947312],"domain_scores_gemma":[0.9959688,0.000878826,0.0002533341,0.0007264151,0.002105529,0.00006708915],"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":[0.0007886649,0.0002708223,0.007134469,0.001668298,0.0005128809,0.0001893843,0.0000983048,0.02979703,0.003265146,0.01849991,0.7266628,0.2111123],"study_design_scores_gemma":[0.0003921231,0.0002107622,0.0182867,0.0004492028,0.000329375,0.000483795,0.0001025155,0.05084844,0.03145815,0.01896671,0.8782711,0.000201075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0339224,0.006314177,0.1254239,0.003023249,0.002842916,0.0009740017,0.4012942,0.0561301,0.370075],"genre_scores_gemma":[0.2042049,0.005052635,0.2185774,0.002433618,0.0006041532,0.002212112,0.2933845,0.020593,0.2529376],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1096201,"threshold_uncertainty_score":0.3667157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0674029604425362,"score_gpt":0.3850112675378543,"score_spread":0.3176083070953181,"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."}}