{"id":"W2089282320","doi":"10.1111/j.1467-9221.2008.00636.x","title":"It's Not Easy Being Green: Minor Party Labels as Heuristic Aids","year":2008,"lang":"en","type":"article","venue":"Political Psychology","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"University of California, Davis","keywords":"Minor (academic); Heuristic; Politics; Public opinion; Social psychology; Work (physics); Order (exchange); Psychology; Third party; Political science; Public relations; Computer science; Business; Law; Internet privacy; Artificial intelligence","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":["insufficient_payload"],"category_scores_codex":[0.0004867026,0.0001676916,0.0003268679,0.00007980482,0.0005329837,0.00002702511,0.0002501888,0.0002817842,0.001186242],"category_scores_gemma":[0.001102203,0.0001596364,0.0001144098,0.0002487219,0.001032587,0.0001257381,0.00003152779,0.0002682417,0.002238994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001166177,"about_ca_system_score_gemma":0.0001484018,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01614026,"about_ca_topic_score_gemma":0.001349055,"domain_scores_codex":[0.996673,0.0006338491,0.0004579147,0.0003957605,0.0003986402,0.001440807],"domain_scores_gemma":[0.9981576,0.0005451483,0.00005933398,0.000283483,0.0001310296,0.0008233686],"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":[0.00002614893,0.0001309767,0.02625777,0.00001215135,0.00001572798,0.00005519335,0.001081904,1.59001e-7,0.0002066832,0.9670412,0.004799108,0.0003729647],"study_design_scores_gemma":[0.001278274,0.0009338933,0.1187982,0.00005652037,0.00007929125,0.0001184849,0.0002887736,0.00002748289,0.0004365641,0.3402078,0.5369874,0.0007872783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5347217,0.00003467915,0.00020374,0.05400611,0.0008523863,0.0002407259,0.00001199395,0.0001373625,0.4097913],"genre_scores_gemma":[0.969534,0.000005469287,0.00009532658,0.01972631,0.001325773,0.00003719675,0.00000480715,0.00001829909,0.009252855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6268334,"threshold_uncertainty_score":0.9997268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1125542508328561,"score_gpt":0.4339888928108817,"score_spread":0.3214346419780255,"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."}}