{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001965029,0.0007856944,0.0008221732,0.001688387,0.01011697,0.009031228,0.001555069,0.004807222,0.08813695],"category_scores_gemma":[0.006191819,0.0006289429,0.0007095071,0.002385769,0.0009638214,0.001190413,0.001667816,0.005523028,0.03002839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03705715,"about_ca_system_score_gemma":0.08192229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9577856,"about_ca_topic_score_gemma":0.9925942,"domain_scores_codex":[0.9972683,0.00008126489,0.00006373483,0.0001254172,0.001453361,0.001007915],"domain_scores_gemma":[0.9964913,0.0001064519,0.00006365062,0.00006581405,0.002332909,0.0009398617],"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":[0.00001643998,0.000006139765,0.0001714218,0.00001912125,0.000002631298,0.00002271942,0.00003127557,0.00001924944,0.00002470479,0.001136332,0.9968756,0.001674451],"study_design_scores_gemma":[0.00001675367,0.000005042834,0.005066236,0.00004896344,0.000005464786,0.000007614896,0.0001657278,0.00003746775,0.00005395057,0.0002309868,0.9943436,0.00001819493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004974643,0.006586514,0.0005831395,0.1167379,0.03383162,0.0006417463,0.09079487,0.001092291,0.7447573],"genre_scores_gemma":[0.01743248,0.001646702,0.0004734975,0.02791838,0.001365405,0.0001605584,0.01330504,0.0002164269,0.9374815],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08813695,"threshold_uncertainty_score":0.2948474,"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."}}