{"id":"W4366447383","doi":"10.3138/cjpe.26.004","title":"In Search of a Balanced Canadian Federal Evaluation Function: Getting Back to the Future","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Function (biology); Business; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007156083,0.00009024159,0.0001475629,0.000428171,0.0004003995,0.0000943175,0.0003176811,0.0001102064,0.0019923],"category_scores_gemma":[0.00069165,0.00008178039,0.00007315858,0.0008919428,0.0001137944,0.0003513032,0.000004457698,0.0002466516,0.00002997922],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001809318,"about_ca_system_score_gemma":0.01816285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9321412,"about_ca_topic_score_gemma":0.9991841,"domain_scores_codex":[0.9974658,0.0006687529,0.0003924073,0.0001313485,0.0008397637,0.0005019586],"domain_scores_gemma":[0.997517,0.00003636429,0.0002275138,0.0001521045,0.001207173,0.0008598808],"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":[0.00007411745,0.00003680833,0.03253877,0.00001979401,0.00006100976,0.00002135913,0.0927236,0.001081525,0.00001831759,0.008481991,0.06647743,0.7984653],"study_design_scores_gemma":[0.001051462,0.0004137183,0.4257784,0.0001502569,0.00008612982,0.00001713983,0.01039816,0.00186395,0.00004040696,0.003715249,0.5562311,0.000254017],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8601881,0.002110147,0.00008206912,0.08853716,0.00339186,0.005237726,0.00009134168,0.000007648945,0.04035399],"genre_scores_gemma":[0.9966404,0.00001115767,0.0004482074,0.001572823,0.001017164,0.00005089022,0.000004209443,0.000009227312,0.0002459101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7982113,"threshold_uncertainty_score":0.99892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1194995993585855,"score_gpt":0.3816260544440669,"score_spread":0.2621264550854814,"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."}}