{"id":"W4413123951","doi":"10.5089/9798229022002.002","title":"Canada","year":2025,"lang":"en","type":"article","venue":"IMF Staff Country Reports","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0004303977,0.00006397158,0.0001041623,0.00001432075,0.0005450782,0.00008382689,0.0001489569,0.00005347831,0.0002133047],"category_scores_gemma":[0.0003419161,0.00006215589,0.00002071467,0.0005101848,0.0001622654,0.0001252757,0.00002641505,0.00006805547,0.000001928139],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004066166,"about_ca_system_score_gemma":0.007794983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929112,"about_ca_topic_score_gemma":0.9966829,"domain_scores_codex":[0.9986352,0.00003254782,0.0001908865,0.000205902,0.0006246069,0.0003108186],"domain_scores_gemma":[0.9994813,0.00005729367,0.0001286666,0.0001512394,0.00009607601,0.0000854752],"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":[0.000003115892,0.00002591932,0.03116771,0.000006252157,0.00001286115,0.0003424216,0.001114301,0.00001028269,0.00002447291,0.06995717,0.892036,0.005299485],"study_design_scores_gemma":[0.00002602845,0.000004087806,0.01184678,0.00001269415,0.000004629851,0.000001918555,0.002401426,0.00000232703,0.00002134211,0.004067757,0.9815336,0.00007744302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1729668,0.0006699656,0.00006602323,0.01579516,0.004438141,0.0002062345,0.00001436216,0.00007594593,0.8057674],"genre_scores_gemma":[0.9561642,0.00006317171,0.00002108354,0.0008242616,0.0001756774,0.000007188544,0.000001321056,0.000002585362,0.04274045],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7831975,"threshold_uncertainty_score":0.9978299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007866413359917293,"score_gpt":0.2861690757168123,"score_spread":0.278302662356895,"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."}}