{"id":"W4414007621","doi":"10.51644/uhwt5404","title":"Summary of Waterloo Region Vote Intention, Spring 2021","year":2021,"lang":"en","type":"report","venue":"","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spring (device); Geography; Computer science; Cartography; Psychology; Engineering; Mechanical engineering","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":[0.0009869603,0.0002572259,0.0003993602,0.001945577,0.001325232,0.001287802,0.0007937007,0.0003308532,0.05172288],"category_scores_gemma":[0.004640779,0.0002495395,0.0004858938,0.002609499,0.000259801,0.00085722,0.001005272,0.0005683789,0.01336197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002472517,"about_ca_system_score_gemma":0.003628983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.632928,"about_ca_topic_score_gemma":0.8128321,"domain_scores_codex":[0.9990081,0.0001225113,0.00005597432,0.0001020107,0.0003941909,0.0003172135],"domain_scores_gemma":[0.9960001,0.000613117,0.0006323921,0.0001582685,0.002165096,0.0004311639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005946106,0.000112004,0.4720881,0.0004017304,0.000111728,0.00007590889,0.002802776,0.0003647374,0.0003518662,0.000912229,0.4763545,0.04582977],"study_design_scores_gemma":[0.00002925249,0.0001059367,0.9127698,0.0001183358,0.00002808274,0.00002659751,0.008776676,0.0003022719,0.0002574161,0.00008233982,0.07746644,0.00003683125],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3782432,0.000723323,0.0005562184,0.002700611,0.0002816369,0.0003943681,0.4300784,0.0007041073,0.1863181],"genre_scores_gemma":[0.7364901,0.0006893974,0.0005762837,0.0008284904,0.0001394181,0.0007534396,0.1307309,0.0002753317,0.1295167],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.367072,"threshold_uncertainty_score":0.7384676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09537898632340916,"score_gpt":0.3692733381325664,"score_spread":0.2738943518091572,"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."}}