{"id":"W3031036335","doi":"10.3138/cjpe.61624","title":"Evaluation in the Provinces and Territories: A Cross-Canada Snapshot and Call to Action","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; University of Victoria; Université Laval; Dalhousie University","funders":"","keywords":"Snapshot (computer storage); Government (linguistics); Public administration; Political science; State (computer science); Action (physics); Regional science; Public relations; Geography; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.01876832,0.0001006135,0.0001628937,0.0002260793,0.0001946016,0.0007483457,0.0002853482,0.00004704018,0.0003296388],"category_scores_gemma":[0.006414379,0.00006705979,0.00002574965,0.0006563999,0.00006897769,0.0006411579,0.0000125898,0.000182285,0.000002541459],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004649647,"about_ca_system_score_gemma":0.008853809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09195006,"about_ca_topic_score_gemma":0.94499,"domain_scores_codex":[0.9950007,0.0008113966,0.0006576784,0.0002196226,0.003121675,0.0001889293],"domain_scores_gemma":[0.996877,0.0002809553,0.0003256682,0.0001349162,0.001977414,0.0004041179],"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":[0.00002755681,0.00001146648,0.1097782,0.000007077886,0.00001113451,0.000004017509,0.00620199,0.002079518,0.00003378732,0.00007475714,0.003323219,0.8784472],"study_design_scores_gemma":[0.001131879,0.0008097955,0.7455789,0.00003717557,0.00008816783,0.00003826668,0.007100509,0.1460667,0.00005024471,0.00211277,0.09683095,0.0001546537],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739662,0.0004069706,0.00008848599,0.02296676,0.0004173494,0.001498191,0.000007812656,0.000002101142,0.0006461326],"genre_scores_gemma":[0.9978573,0.000007943819,0.0004521502,0.001341488,0.000227129,0.00009305065,0.000008911477,0.000004260924,0.000007739226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8782926,"threshold_uncertainty_score":0.9967651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4273514882657697,"score_gpt":0.5421958438593792,"score_spread":0.1148443555936096,"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."}}