{"id":"W4243042042","doi":"10.31234/osf.io/2vuhb","title":"Is research in social psychology politically biased? Systematic empirical tests and a forecasting survey to address the controversy","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Conservatism; Positive economics; Politics; Field (mathematics); Empirical research; Explanatory power; Sample (material); Psychology; Social science; Social psychology; Political science; Sociology; Epistemology; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch"],"domain":"methods","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1849714,0.0007029996,0.001122147,0.005961962,0.00220297,0.003965075,0.001228014,0.00222357,0.002931765],"category_scores_gemma":[0.4291062,0.0005083629,0.001020206,0.006870136,0.009586109,0.004819849,0.0025442,0.001799122,0.0003753575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002366075,"about_ca_system_score_gemma":0.0041815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00297038,"about_ca_topic_score_gemma":0.002465093,"domain_scores_codex":[0.8332157,0.1361355,0.00778407,0.007782394,0.01295019,0.002132142],"domain_scores_gemma":[0.2490284,0.6043286,0.06971483,0.04646737,0.02851105,0.00194975],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008519714,0.0008918679,0.7917886,0.002087238,0.003294181,0.0003835622,0.01836796,0.002083647,0.001920658,0.07126596,0.004442281,0.102622],"study_design_scores_gemma":[0.0008831942,0.002074131,0.7748162,0.003524336,0.002807255,0.0004916945,0.02525596,0.02218889,0.004458527,0.1329028,0.030418,0.0001788844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.922711,0.01051347,0.03362879,0.01831712,0.0005461734,0.000941234,0.0005160868,0.00008852821,0.01273774],"genre_scores_gemma":[0.991168,0.0006935445,0.005594088,0.001544451,0.0002164645,0.0004515128,0.0001739852,0.00001077506,0.0001471912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8150286,"threshold_uncertainty_score":0.9782338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9255402400903245,"score_gpt":0.6652197998822321,"score_spread":0.2603204402080924,"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."}}