{"id":"W6983284632","doi":"","title":"Making Political Choices: Canada and the United States","year":2023,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Politics; Government (linguistics); State (computer science); Agency (philosophy)","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":[0.005789999,0.0004638815,0.000929072,0.002686851,0.03407433,0.02156223,0.002232622,0.005210757,0.01024514],"category_scores_gemma":[0.01534221,0.000482985,0.0006120151,0.007316798,0.01582633,0.003910011,0.004592028,0.005207547,0.0004143145],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2063468,"about_ca_system_score_gemma":0.3074245,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981306,"about_ca_topic_score_gemma":0.9993748,"domain_scores_codex":[0.9906451,0.002245629,0.0001300674,0.0004696323,0.001851048,0.004658608],"domain_scores_gemma":[0.9907788,0.002618283,0.0003704242,0.0001679777,0.002500093,0.003564499],"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":[0.0003198559,0.0001811722,0.03991512,0.0001707395,0.0001426242,0.0007593554,0.06628602,0.004383949,0.0002166628,0.707566,0.1235345,0.05652402],"study_design_scores_gemma":[0.0001767342,0.00006290287,0.08140343,0.001047514,0.000325643,0.0001336482,0.3356605,0.004049947,0.000597082,0.1485519,0.4276395,0.0003513393],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3915193,0.01291792,0.001162763,0.1845394,0.0005843622,0.0001154354,0.001506606,0.00004127162,0.4076129],"genre_scores_gemma":[0.9704679,0.002995542,0.0005504781,0.005701019,0.00003938891,0.00003367837,0.0001791862,0.00003028186,0.02000257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2063468,"threshold_uncertainty_score":0.9205252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03199877777263714,"score_gpt":0.2656075136119602,"score_spread":0.233608735839323,"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."}}