{"id":"W7098031366","doi":"","title":"Computational Identification of Ideology in Text: A Study of Canadian Parliamentary Debates","year":2009,"lang":"en","type":"article","venue":"","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ideology; Parliament; Identification (biology); Task (project management); Limiting","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":[0.003903866,0.0005420318,0.0006510026,0.003683663,0.00590432,0.002498183,0.001931243,0.001215701,0.001869916],"category_scores_gemma":[0.03793704,0.0002957422,0.0005609647,0.007104348,0.002992156,0.001779835,0.0009877458,0.001344851,0.0004144076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02034446,"about_ca_system_score_gemma":0.01119184,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8830473,"about_ca_topic_score_gemma":0.9171706,"domain_scores_codex":[0.9969259,0.00120066,0.00009659172,0.0003954546,0.00105782,0.0003236008],"domain_scores_gemma":[0.9691003,0.02501442,0.001461737,0.0008228741,0.003110038,0.0004905459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002092006,0.001299152,0.4178442,0.001675163,0.0004564718,0.002516055,0.1060931,0.04580515,0.01404273,0.05961875,0.03275522,0.3158019],"study_design_scores_gemma":[0.0002354731,0.000214686,0.5310737,0.0002919173,0.0002388128,0.0008166537,0.06420126,0.3274603,0.007959301,0.01705981,0.05012192,0.0003262328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871924,0.0006722375,0.003759906,0.001254268,0.00002165663,0.00009409717,0.001565477,0.0000927928,0.005347266],"genre_scores_gemma":[0.98632,0.0002534424,0.008482207,0.0001839363,0.00003417399,0.0000790171,0.002745442,0.00003452798,0.001867149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1169527,"threshold_uncertainty_score":0.2352828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03374563523354474,"score_gpt":0.3617609259070961,"score_spread":0.3280152906735514,"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."}}