{"id":"W4388147453","doi":"10.24124/c677/2017676","title":"The 2014 Provincial Election in New Brunswick","year":2018,"lang":"en","type":"article","venue":"Canadian Political Science Review","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; University of New Brunswick","funders":"","keywords":"Liberal Party; Political science; Government (linguistics); Realigning election; Power (physics); Political economy; General election; Margin (machine learning); Momentum (technical analysis); Public administration; Law; Economic history; Sociology; Communism; Politics; Socialism; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001593634,0.0003730381,0.0004701138,0.002366158,0.006514473,0.003711308,0.001673158,0.0009492108,0.01286796],"category_scores_gemma":[0.005033448,0.0004574927,0.000381287,0.007209982,0.001581439,0.001009084,0.001971421,0.002364881,0.001563751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1062288,"about_ca_system_score_gemma":0.1774132,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939121,"about_ca_topic_score_gemma":0.9976395,"domain_scores_codex":[0.9982193,0.0001381842,0.00007641942,0.0001157246,0.0005416858,0.0009087202],"domain_scores_gemma":[0.9981345,0.0001929695,0.0001331386,0.00005308488,0.001094529,0.0003916778],"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":[0.0002954584,0.00007675945,0.02532812,0.002281038,0.0001058472,0.001541345,0.009879377,0.0009820826,0.0009313942,0.1347483,0.6082885,0.2155417],"study_design_scores_gemma":[0.00004764194,0.00001495821,0.06619225,0.0008664805,0.00002965709,0.00009774325,0.005621229,0.0001139586,0.0003056568,0.001578494,0.9250838,0.00004802384],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1109708,0.1567936,0.0005898762,0.1123333,0.008318575,0.0004897974,0.0186237,0.0001433478,0.591737],"genre_scores_gemma":[0.5071616,0.116445,0.001146141,0.01614417,0.0008314474,0.0003490748,0.01140297,0.0001227797,0.3463969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1062288,"threshold_uncertainty_score":0.7707474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441987046345172,"score_gpt":0.2937786541075999,"score_spread":0.2793587836441482,"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."}}