{"id":"W1488273786","doi":"10.56645/jmde.v1i1.148","title":"The State of Evaluation in Canada","year":2004,"lang":"en","type":"article","venue":"Journal of MultiDisciplinary Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Canada; Government of Canada; Industry Canada; Australian Government; Transport Canada","keywords":"State (computer science); Political science; Evaluation methods; Public administration; Library science; Regional science; Sociology; Computer science; Engineering; Reliability engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.07149008,0.0005714932,0.001813608,0.008786651,0.0172781,0.0258737,0.0054465,0.005894024,0.005501447],"category_scores_gemma":[0.1303391,0.001093623,0.001491633,0.01297931,0.02073778,0.007422897,0.006970331,0.01076757,0.0005634779],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.3082243,"about_ca_system_score_gemma":0.5616629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9802744,"about_ca_topic_score_gemma":0.9812306,"domain_scores_codex":[0.9021764,0.01646938,0.005792735,0.005899617,0.05685955,0.01280225],"domain_scores_gemma":[0.6852447,0.06093368,0.009523741,0.005108213,0.2062049,0.03298481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002051922,0.0001407745,0.01236041,0.002215985,0.0001251579,0.0002606187,0.004382999,0.002923009,0.0003687238,0.3292013,0.2258437,0.4219721],"study_design_scores_gemma":[0.00006869549,0.000125233,0.04374957,0.0078888,0.0001408706,0.0002006563,0.007051319,0.004072371,0.0007040917,0.05591551,0.8796382,0.0004447362],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01386667,0.2341919,0.005610219,0.6635672,0.005234101,0.0001366936,0.0007740855,0.0003083257,0.07631081],"genre_scores_gemma":[0.6060733,0.2370694,0.01592499,0.1060817,0.003907464,0.0002094548,0.0009553729,0.0004456606,0.02933258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6917757,"threshold_uncertainty_score":0.8023618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1579830133115361,"score_gpt":0.4877877855008924,"score_spread":0.3298047721893563,"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."}}