{"id":"W4248158661","doi":"10.1111/j.2047-8852.2012.00005.x","title":"Canada","year":2012,"lang":"en","type":"article","venue":"European Journal of Political Research Political Data Yearbook","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Politics; Political science; Citation; Library 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":[0.0004241228,0.0007185175,0.0006580524,0.00202183,0.005308873,0.005442348,0.001192445,0.001552444,0.574055],"category_scores_gemma":[0.002108457,0.0004850234,0.0004308345,0.00339939,0.000819695,0.001188658,0.001156114,0.001470792,0.2935087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01880186,"about_ca_system_score_gemma":0.04225872,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8652852,"about_ca_topic_score_gemma":0.9353245,"domain_scores_codex":[0.9989107,0.0000493446,0.00002457987,0.0002388932,0.0005146879,0.0002618642],"domain_scores_gemma":[0.9979503,0.0001382027,0.00005985762,0.0001510631,0.001350753,0.0003499234],"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":[0.00004156942,0.00002120964,0.0006865994,0.00007664834,0.000006893478,0.00007700993,0.00006310076,0.0001161153,0.0001632141,0.01608097,0.9395838,0.04308295],"study_design_scores_gemma":[0.000006966618,0.00000273435,0.000903502,0.00002853925,0.0000025518,0.00001811066,0.00007452548,0.00006860164,0.00009120331,0.0005665289,0.998231,0.000005750521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001374359,0.001782545,0.0004505424,0.005146811,0.0007491526,0.00005932463,0.02631856,0.0006831034,0.9634355],"genre_scores_gemma":[0.00315615,0.0005197045,0.0002578525,0.00054636,0.00003290575,0.00001282148,0.00309452,0.0001258378,0.992254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.574055,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.331446225045416,"score_gpt":0.457064130651904,"score_spread":0.125617905606488,"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."}}