{"id":"W4245926990","doi":"10.4212/cjhp.v70i5.1705","title":"Choosing Excellence","year":2017,"lang":"en","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Organizational Learning and Leadership","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excellence; Computer science; Philosophy; Epistemology","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":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004060222,0.00007983867,0.00008733874,0.0001044052,0.001462237,0.001124021,0.0007544936,0.00001513373,0.000424864],"category_scores_gemma":[0.0005026353,0.00005787346,0.00005801636,0.00007334226,0.0001569408,0.001128078,0.00002667818,0.0002742014,0.0002433642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004025957,"about_ca_system_score_gemma":0.0002397096,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01421092,"about_ca_topic_score_gemma":0.003140966,"domain_scores_codex":[0.9994076,0.000007851692,0.0001517631,0.00006417547,0.0001657705,0.0002027697],"domain_scores_gemma":[0.9991049,0.00001924564,0.0004127313,0.0001669257,0.0002444952,0.0000517529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003918667,0.00005694716,0.8377114,0.00008699729,0.000150894,0.0005366249,0.001492622,0.0005596921,0.0002474163,0.02082969,0.1134912,0.02479735],"study_design_scores_gemma":[0.001011564,0.00002646882,0.2045462,0.0001408001,0.0001121283,0.00003828141,0.0005661009,0.0004950856,0.0001833372,0.004462532,0.7880958,0.0003217359],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8433011,0.0005521865,0.00004336027,0.1192258,0.003320252,0.00009544934,0.000001244773,0.00001478274,0.03344586],"genre_scores_gemma":[0.9943196,0.000004383691,0.00002073257,0.001583641,0.003491775,2.618476e-7,7.158051e-7,0.00001605147,0.0005628599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6746047,"threshold_uncertainty_score":0.9999129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0367146423946817,"score_gpt":0.2552251216999372,"score_spread":0.2185104793052555,"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."}}