{"id":"W7053445017","doi":"","title":"Unity diversity and the standardization of clinical pharmacy service","year":2017,"lang":"en","type":"book","venue":"Universitas Airlangga Repository (Universitas Airlangga)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clinical pharmacy; Pharmacy; Standardization; Multistate Pharmacy Jurisprudence Examination; Pharmacy practice; Scope (computer science); Subject (documents)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004438506,0.000466209,0.0008775985,0.0002600522,0.002068733,0.00007098773,0.001163198,0.0004252768,0.000104315],"category_scores_gemma":[0.00005339424,0.0004619033,0.000354262,0.000171554,0.0007537238,0.000420153,0.001473046,0.0007883666,0.0000316803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003281325,"about_ca_system_score_gemma":0.0002824803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003584544,"about_ca_topic_score_gemma":0.00008367703,"domain_scores_codex":[0.998072,0.0001384651,0.0004503235,0.0004930383,0.0005182663,0.0003278865],"domain_scores_gemma":[0.997233,0.0004333584,0.0005941239,0.001014159,0.0004571403,0.0002681644],"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":[0.0007991683,0.0002159033,0.003988879,0.0009782866,0.002685496,0.0007429151,0.003964409,0.006305191,0.00005621553,0.0609493,0.9170961,0.002218117],"study_design_scores_gemma":[0.01567196,0.0001715441,0.005277976,0.0007967699,0.006604677,0.0001354935,0.006470067,0.02352904,0.0002708419,0.002945124,0.9360511,0.002075419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04874731,0.001586662,0.001521467,0.0007070652,0.001443138,0.001151328,0.001456013,0.0004779175,0.9429091],"genre_scores_gemma":[0.9316581,0.002895083,0.0004892285,0.0001653774,0.0006373086,0.000004579689,0.0006990212,0.0001347382,0.06331658],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8829108,"threshold_uncertainty_score":0.9997833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664182375256159,"score_gpt":0.2474451977248829,"score_spread":0.2208033739723213,"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."}}