{"id":"W7096536052","doi":"","title":"Chapter 23 SCIENCE AND TECHNOLOGY EVALUATION PRACTICES IN THE GOVERNMENT OF CANADA","year":2015,"lang":"en","type":"article","venue":"","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Treasury; Government (linguistics); Audit; Portfolio; Function (biology); Monitoring and evaluation; Set (abstract data type); Perspective (graphical)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04632498,0.0006959832,0.001170952,0.01110068,0.02331562,0.02767456,0.004682331,0.003711723,0.009089876],"category_scores_gemma":[0.07168881,0.0008165253,0.001020893,0.02007795,0.01456029,0.00444242,0.006545972,0.004605417,0.001698251],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.3188722,"about_ca_system_score_gemma":0.597559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9886116,"about_ca_topic_score_gemma":0.9887428,"domain_scores_codex":[0.9114015,0.01879179,0.00377883,0.003901761,0.05442335,0.007702684],"domain_scores_gemma":[0.8969168,0.01105046,0.001848202,0.003001834,0.07837429,0.008808447],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009858182,0.0001481891,0.009915475,0.001896036,0.0001247359,0.0007835321,0.03186804,0.003177469,0.001104655,0.3535414,0.258154,0.3391879],"study_design_scores_gemma":[0.00002023187,0.00004029333,0.01421091,0.002070011,0.00003669099,0.0001439974,0.01792592,0.0009924341,0.0006646127,0.01418328,0.9495744,0.0001373237],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.02351572,0.05484318,0.01301574,0.1330208,0.002417554,0.001550841,0.001685577,0.0007167814,0.7692338],"genre_scores_gemma":[0.5414945,0.05260126,0.04509097,0.02159549,0.0004329367,0.001090482,0.001761449,0.0008006605,0.3351323],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.953675,"threshold_uncertainty_score":0.7900118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3807230062594268,"score_gpt":0.5261213813158717,"score_spread":0.1453983750564449,"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."}}