{"id":"W7055073782","doi":"","title":"The 2019 Canadian Election Study: A Mode Comparison in Electoral Studies","year":2024,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Thermal properties of materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Matching (statistics); Mode (computer interface); Sample size determination; Propensity score matching; Survey data collection; Sampling (signal processing); Survey methodology; Focus (optics)","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":[0.02725109,0.0006822427,0.000852886,0.004399426,0.005703435,0.002504411,0.002014355,0.0008743668,0.008671665],"category_scores_gemma":[0.07026455,0.0005051909,0.001557008,0.00693694,0.001403849,0.001162842,0.002902222,0.0006918517,0.0006136037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01220003,"about_ca_system_score_gemma":0.0182968,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8638049,"about_ca_topic_score_gemma":0.9302273,"domain_scores_codex":[0.9766408,0.011093,0.001418063,0.001982433,0.006463911,0.002401782],"domain_scores_gemma":[0.9748845,0.007076429,0.002551188,0.003038501,0.01057062,0.001878826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004874453,0.0003578435,0.8378184,0.00204,0.001886142,0.0003915228,0.02545266,0.0006290104,0.001279219,0.01076147,0.01629901,0.09821027],"study_design_scores_gemma":[0.0003681227,0.0005249747,0.9484627,0.0008782793,0.0007208194,0.0002275853,0.01489882,0.0007633203,0.0004458786,0.001111474,0.03146939,0.0001285019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9305444,0.008368715,0.006852597,0.002441162,0.0005042718,0.00283982,0.01059339,0.00009158414,0.03776403],"genre_scores_gemma":[0.983505,0.001410161,0.005271282,0.0008434747,0.00007491984,0.001969564,0.003449055,0.00008539998,0.003391257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1361951,"threshold_uncertainty_score":0.2739944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1290513577393506,"score_gpt":0.3654976696509407,"score_spread":0.2364463119115901,"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."}}