{"id":"W2527468053","doi":"10.56645/jmde.v2i2.131","title":"An Update on Evaluation in Canada","year":2005,"lang":"en","type":"article","venue":"Journal of MultiDisciplinary Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.03897716,0.0001547093,0.0003000125,0.0006601571,0.000136134,0.000102857,0.0005614682,0.00005729958,0.003248174],"category_scores_gemma":[0.001654454,0.0001127034,0.00008202303,0.0006610126,0.00002128577,0.001651335,0.00003648707,0.0002879539,0.0001294754],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002849146,"about_ca_system_score_gemma":0.007386341,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006966823,"about_ca_topic_score_gemma":0.5666797,"domain_scores_codex":[0.9874651,0.001742262,0.001677066,0.0002983282,0.008595182,0.0002220054],"domain_scores_gemma":[0.9950003,0.0005228419,0.001167149,0.00046876,0.002679375,0.0001615649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001524915,0.0001462348,0.03861579,0.000001009988,0.000006978877,0.000002487079,0.000752893,0.5586497,0.0004079195,0.00005270478,0.001234282,0.3999775],"study_design_scores_gemma":[0.001528921,0.000217044,0.3936639,0.00002551797,0.00002638599,0.0000100731,0.001437778,0.5999073,0.0003746537,0.002061993,0.000656168,0.0000902962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900646,0.0001438624,0.0003364722,0.006594589,0.0008240904,0.0004533252,0.000004663811,0.000003536953,0.001574833],"genre_scores_gemma":[0.9976199,0.00002804698,0.001601378,0.0002949967,0.0003710942,0.00001854734,0.00001615808,0.000009661601,0.00004019902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5597128,"threshold_uncertainty_score":0.9996459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1992817783507851,"score_gpt":0.5200236305055952,"score_spread":0.32074185215481,"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."}}