{"id":"W2914977649","doi":"10.5772/intechopen.80964","title":"Estimating the Effect of Voters’ Media Awareness on the 2016 US Presidential Election","year":2019,"lang":"en","type":"book-chapter","venue":"IntechOpen eBooks","topic":"Social Media and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wilfrid Laurier University","keywords":"Newspaper; Presidential election; Active listening; Logit; Advertising; Political science; Presidential system; Politics; Demographic economics; Psychology; Econometrics; Economics; Business","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009073655,0.0002491058,0.0003665403,0.00007217943,0.0005060597,0.0001096562,0.0007970909,0.0004182882,0.0002798671],"category_scores_gemma":[0.0008131136,0.0001414566,0.0002295256,0.00002227748,0.000713355,0.00004054348,0.0001060945,0.0006323482,0.0002204858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001422771,"about_ca_system_score_gemma":0.0005198711,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006956778,"about_ca_topic_score_gemma":0.00205609,"domain_scores_codex":[0.9981152,0.0003412542,0.0003129096,0.0002374289,0.0006891628,0.0003040842],"domain_scores_gemma":[0.995452,0.003606086,0.0003796798,0.0003791537,0.0001206616,0.00006237328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005257992,0.00002459093,0.001460883,0.0003278641,0.0009773524,0.00002799707,0.09900968,0.00002418528,0.001327219,0.6584995,0.03205308,0.2057418],"study_design_scores_gemma":[0.001423949,0.001490655,0.0002405272,0.005155487,0.00125097,0.000009162458,0.003293286,0.0001042587,0.0630167,0.1471702,0.7751687,0.001676182],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02841006,0.00005915988,0.0000949958,0.0005456822,0.005187438,0.001648579,0.00002732056,0.00006941464,0.9639574],"genre_scores_gemma":[0.7202998,0.00001445925,0.00002090245,0.0002811036,0.003014105,0.00007396891,0.00000743188,0.00006624407,0.2762219],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7431155,"threshold_uncertainty_score":0.999656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02418659304850884,"score_gpt":0.3104936060420489,"score_spread":0.2863070129935401,"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."}}