{"id":"W4235089517","doi":"10.1111/2047-8852.12004","title":"Canada","year":2013,"lang":"en","type":"article","venue":"European Journal of Political Research Political Data Yearbook","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of British Columbia","funders":"","keywords":"Library science; Politics; Citation; Political science; Law; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004453736,0.0007188839,0.0006781565,0.00206253,0.005376425,0.005606827,0.001209832,0.001559081,0.5694811],"category_scores_gemma":[0.002228577,0.0004942326,0.0004372692,0.003534516,0.0008397291,0.001207013,0.001160852,0.001503609,0.2927042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01907932,"about_ca_system_score_gemma":0.04340215,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8647104,"about_ca_topic_score_gemma":0.9348069,"domain_scores_codex":[0.9988647,0.00005196997,0.00002556677,0.0002484632,0.0005403163,0.0002689965],"domain_scores_gemma":[0.9978033,0.0001514646,0.00006386987,0.0001639258,0.001449484,0.0003679403],"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":[0.00004090884,0.00002068849,0.0006738642,0.00007591237,0.000006824131,0.00007336729,0.00006231972,0.0001142911,0.0001542956,0.0159171,0.9410887,0.0417716],"study_design_scores_gemma":[0.000006880249,0.000002717513,0.0008999853,0.00002934578,0.000002530989,0.00001773853,0.00007500972,0.00006882786,0.00009009007,0.0005766911,0.9982244,0.000005776097],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001372593,0.001825844,0.0004678508,0.005267188,0.0007661646,0.00005906103,0.02786246,0.0006981881,0.9616807],"genre_scores_gemma":[0.003203113,0.0005402373,0.000267145,0.0005498868,0.00003400114,0.0000131493,0.003283981,0.0001332522,0.9919751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5694811,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2428533432298252,"score_gpt":0.4242325887520147,"score_spread":0.1813792455221895,"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."}}