{"id":"W4220916975","doi":"10.1097/acm.0000000000004381","title":"The Vot-ER Healthy Democracy Campaign: A National Medical Student Competition to Increase Voting Access","year":2021,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Educational Games and Gamification","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Ballot; Competition (biology); Voting; Medicaid; Agency (philosophy); Political science; Government (linguistics); Voter registration; Health care; Public relations; Democracy; Medical education; Public administration; Medicine; Politics; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002483823,0.0001410485,0.0002018432,0.00009311862,0.0003171409,0.00002151114,0.0005551117,0.0001962961,0.003256051],"category_scores_gemma":[0.003212815,0.0001002107,0.00003382443,0.0004900656,0.0001454329,0.00008440096,0.0001308459,0.0007273657,0.0003069143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001639403,"about_ca_system_score_gemma":0.0004680632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001851109,"about_ca_topic_score_gemma":0.0000671397,"domain_scores_codex":[0.9969577,0.0003950558,0.0006373739,0.0004038563,0.001270257,0.0003357762],"domain_scores_gemma":[0.9970246,0.001657517,0.0001933028,0.0002464897,0.0004581215,0.0004199826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001634329,0.0001651141,0.05292459,0.00003976326,0.0001377815,0.00003298433,0.01584243,0.00001672447,0.0002569933,0.5432701,0.3617901,0.02536],"study_design_scores_gemma":[0.001940669,0.0001781887,0.5164253,0.0003942454,0.0000630146,0.0003080212,0.0184126,0.0002464126,0.00003101588,0.008433385,0.4532766,0.0002906072],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.424628,0.003709872,0.004879538,0.5504419,0.002936738,0.0004880581,0.000009885752,0.00007266567,0.01283331],"genre_scores_gemma":[0.9459559,0.0004122664,0.0000416166,0.04577399,0.002778288,0.0001442763,0.0001515385,0.00001754516,0.004724564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5348367,"threshold_uncertainty_score":0.9976551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06242754996327551,"score_gpt":0.4719570779217984,"score_spread":0.4095295279585229,"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."}}