{"id":"W2188387579","doi":"10.3138/cjpe.019.002","title":"Reporting on Outcomes: Setting Performance Expectations and Telling Performance Stories","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada","funders":"","keywords":"Outcome (game theory); Chart; Public relations; Actuarial science; Business; Psychology; Political science; Economics; Microeconomics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.1349927,0.001200937,0.0005231036,0.005044462,0.004015363,0.0168375,0.002463764,0.00278672,0.00431065],"category_scores_gemma":[0.2903183,0.0006777737,0.000599569,0.003035377,0.008964244,0.02110801,0.007623678,0.004336548,0.001083323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0105935,"about_ca_system_score_gemma":0.01361899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0081196,"about_ca_topic_score_gemma":0.005195632,"domain_scores_codex":[0.8623679,0.1056275,0.009063789,0.002035272,0.01860372,0.00230192],"domain_scores_gemma":[0.5885613,0.2771844,0.04809887,0.0242396,0.05332229,0.008593654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007454038,0.0005456429,0.04235562,0.001421687,0.0001023254,0.0007180657,0.06965319,0.0112829,0.001589133,0.3031508,0.06579766,0.5026376],"study_design_scores_gemma":[0.000239328,0.002027341,0.04055053,0.006001134,0.0002479261,0.0008490882,0.1119483,0.05691677,0.02824856,0.4262147,0.3257308,0.001025604],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1519569,0.001750576,0.5173674,0.1404638,0.001242352,0.002143795,0.002242789,0.003244074,0.1795882],"genre_scores_gemma":[0.799867,0.001302649,0.1901894,0.002151098,0.0003009189,0.001395942,0.0008092981,0.0002645376,0.003719117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1349927,"threshold_uncertainty_score":0.713918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4090562215533984,"score_gpt":0.5347074822731473,"score_spread":0.125651260719749,"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."}}