{"id":"W4378382004","doi":"10.1515/9780773574601-005","title":"Raising Our Game: Canada among Nations","year":2008,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Raising (metalworking); Political science; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.001437885,0.0008630004,0.0006393176,0.001850107,0.02913814,0.01811298,0.001972089,0.00605611,0.02590516],"category_scores_gemma":[0.004521638,0.0005698634,0.000372068,0.004556328,0.01010248,0.005077921,0.003831784,0.007547859,0.001778924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1282131,"about_ca_system_score_gemma":0.2501475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929932,"about_ca_topic_score_gemma":0.9973375,"domain_scores_codex":[0.9972456,0.0002818196,0.00004033788,0.0002414709,0.0007804477,0.001410411],"domain_scores_gemma":[0.9983053,0.0002292543,0.0000399366,0.00005160669,0.0005509186,0.0008228967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000183617,0.00002431532,0.0007470596,0.00005447763,0.000006480435,0.0001549771,0.008806032,0.0002877759,0.00007738936,0.6759097,0.2825114,0.03140212],"study_design_scores_gemma":[0.000007014085,0.000006481273,0.001534304,0.000188575,0.000008296096,0.00003704369,0.009827062,0.0001924721,0.00007174591,0.02806802,0.9600272,0.00003166757],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01191272,0.01713364,0.001337645,0.09859784,0.001760343,0.00006881489,0.000330663,0.00009073937,0.8687677],"genre_scores_gemma":[0.2681576,0.01324443,0.002166525,0.02040866,0.0002430742,0.000102026,0.0002262467,0.0002057969,0.6952456],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1282131,"threshold_uncertainty_score":0.9302552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02350075207755766,"score_gpt":0.2265113434358361,"score_spread":0.2030105913582785,"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."}}