{"id":"W2899005326","doi":"10.4212/cjhp.v71i5.2846","title":"Evaluating Priorities and Resources: A Balancing Act","year":2018,"lang":"en","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Human Resource Development and Performance Evaluation","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer 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":[0.1514039,0.001517161,0.002173883,0.008031983,0.009299019,0.02301112,0.003694134,0.006552242,0.01042132],"category_scores_gemma":[0.2662463,0.001584167,0.001402016,0.004838909,0.01186577,0.01820919,0.011104,0.01156655,0.00243891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01505364,"about_ca_system_score_gemma":0.03031417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007419448,"about_ca_topic_score_gemma":0.009536425,"domain_scores_codex":[0.8120605,0.1286209,0.009594716,0.006985253,0.03630013,0.006438575],"domain_scores_gemma":[0.8040228,0.1206237,0.01247357,0.01301756,0.04007985,0.009782454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005425173,0.0003678926,0.01054007,0.0008073569,0.0005484255,0.0005237733,0.01729693,0.005508417,0.002504962,0.6676735,0.04255348,0.2511327],"study_design_scores_gemma":[0.0001705786,0.0002463631,0.005777013,0.00236991,0.0002445494,0.0004203377,0.01731727,0.01866909,0.003396986,0.8170969,0.1339653,0.0003257723],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05870681,0.003153224,0.4807043,0.161511,0.002193901,0.003659257,0.000254565,0.0009085953,0.2889084],"genre_scores_gemma":[0.6561322,0.0007294195,0.3088063,0.01297824,0.0005559367,0.001613254,0.0001618111,0.0003734631,0.0186494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1514039,"threshold_uncertainty_score":0.80071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06966656244806999,"score_gpt":0.3897315225004009,"score_spread":0.320064960052331,"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."}}