{"id":"W2987839925","doi":"","title":"Canada's October 2019 Elections [October 11, 2019]","year":2019,"lang":"en","type":"article","venue":"Library of Congress. Congressional Research Service","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; History; Meteorology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008225042,0.0002398591,0.0003965771,0.0003055485,0.000746088,0.0001986252,0.001402271,0.0002533382,0.01542782],"category_scores_gemma":[0.0004516041,0.0002320795,0.0001122055,0.001819868,0.0004935699,0.001561735,0.0003819517,0.00070657,0.0004827145],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002127573,"about_ca_system_score_gemma":0.01503889,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9661235,"about_ca_topic_score_gemma":0.9582496,"domain_scores_codex":[0.9944634,0.000748253,0.0004633782,0.0005505497,0.002541874,0.001232481],"domain_scores_gemma":[0.9957679,0.001836744,0.0002289029,0.0006244431,0.0007272117,0.0008148173],"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":[0.0001070951,0.00005846339,0.01400542,0.00006781163,0.00004054595,0.00002991074,0.0003462214,0.00002441256,0.0004695308,0.05514323,0.9290428,0.0006646145],"study_design_scores_gemma":[0.0005006121,0.00003780982,0.03604788,0.0003528479,0.000006363227,0.000003792731,0.0003038803,0.00006283601,0.001411422,0.002087358,0.9589131,0.0002720244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.588101,0.003169584,0.000001221096,0.1981103,0.002556736,0.001412945,0.003056865,0.0001169695,0.2034744],"genre_scores_gemma":[0.5033151,0.0006947257,0.0001038505,0.01023016,0.0007074913,0.00003843504,0.00009860934,0.00006174648,0.4847499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2812755,"threshold_uncertainty_score":0.9905449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02642150045116134,"score_gpt":0.3307708751967535,"score_spread":0.3043493747455922,"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."}}