{"id":"W7027913900","doi":"","title":"The Effects of Information on Perceptions of Electoral Management in Ontario","year":2023,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perception; Public management; Government (linguistics); Context (archaeology); Affect (linguistics)","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":[0.001760168,0.0001219415,0.0002481925,0.0006001667,0.003572257,0.002013789,0.0004080048,0.0003809785,0.007295543],"category_scores_gemma":[0.01582246,0.0002208448,0.0002074127,0.001180904,0.00180913,0.0006492182,0.001117459,0.0006908529,0.0003502547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02814005,"about_ca_system_score_gemma":0.02224027,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9710075,"about_ca_topic_score_gemma":0.987314,"domain_scores_codex":[0.9975451,0.0004392271,0.00009919118,0.000133859,0.001197633,0.0005849978],"domain_scores_gemma":[0.9871448,0.003679299,0.003260749,0.0004739243,0.00339225,0.002049047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009944439,0.0002263916,0.8695905,0.0001462825,0.00007832357,0.0006357325,0.0817891,0.0005337255,0.002478715,0.004529635,0.007446173,0.03155102],"study_design_scores_gemma":[0.00002044351,0.00007769235,0.9513686,0.00004666551,0.00001849525,0.00003755406,0.03702718,0.0003165445,0.00029878,0.000297934,0.01046262,0.00002746107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792935,0.0001256245,0.0000689053,0.001833137,0.00001565144,0.00002111904,0.000228908,0.000004043059,0.01840927],"genre_scores_gemma":[0.9959799,0.00008386198,0.00003243151,0.00005323053,0.000004850054,0.000004496132,0.00007289287,0.000002976595,0.00376533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02899247,"threshold_uncertainty_score":0.2041714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008393211809859661,"score_gpt":0.245894339936328,"score_spread":0.2375011281264684,"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."}}