{"id":"W4249464008","doi":"10.7591/9781501744556-005","title":"Chapter 4. Canada","year":2019,"lang":"en","type":"book-chapter","venue":"Cornell University Press eBooks","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004936061,0.001309082,0.0006854989,0.003539906,0.009251832,0.008750755,0.001610755,0.002687244,0.323249],"category_scores_gemma":[0.001510903,0.000626843,0.0007107801,0.008587998,0.001510117,0.002299863,0.001662557,0.002845115,0.07057564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04264135,"about_ca_system_score_gemma":0.08110821,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9483255,"about_ca_topic_score_gemma":0.9794075,"domain_scores_codex":[0.9989942,0.00004839276,0.00002049766,0.0001359892,0.0005467149,0.0002541996],"domain_scores_gemma":[0.999388,0.00003909563,0.00001521273,0.00003969263,0.0004108459,0.0001070853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001247976,0.0000137729,0.0001351926,0.00009206672,0.000002673042,0.00004089069,0.0002677497,0.0001123107,0.00007030582,0.07768305,0.8678234,0.05374618],"study_design_scores_gemma":[0.000001194817,0.000001049197,0.0001318063,0.00003581914,0.000001122695,0.000009008217,0.00007823203,0.00001210454,0.00001704783,0.001460259,0.9982497,0.000002604841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002539288,0.006877732,0.00023805,0.003047981,0.0008007094,0.00004352055,0.002455876,0.0001383818,0.9861438],"genre_scores_gemma":[0.002084413,0.003408685,0.0002688184,0.0007340569,0.00005088942,0.00002436769,0.0007139509,0.00008307569,0.9926318],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.323249,"threshold_uncertainty_score":0.9653032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03592947075033449,"score_gpt":0.1907732786626368,"score_spread":0.1548438079123023,"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."}}