{"id":"W4395020618","doi":"10.1037/xge0001569","title":"Efficiency neglect: Why people are pessimistic about the effects of increasing population.","year":2024,"lang":"en","type":"article","venue":"Journal of Experimental Psychology General","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pessimism; Neglect; Psychology; Population; Economics; Demography; Sociology; Psychiatry; Philosophy; Epistemology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006091606,0.0002749106,0.000245842,0.0009258179,0.001303832,0.002955464,0.0005644885,0.002008957,0.003237468],"category_scores_gemma":[0.02285252,0.0003454297,0.0005017302,0.0005912711,0.005398083,0.003811723,0.0021736,0.002504029,0.0003578618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001282252,"about_ca_system_score_gemma":0.0008116679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003069128,"about_ca_topic_score_gemma":0.004002079,"domain_scores_codex":[0.9981324,0.00106771,0.0001241997,0.0001554219,0.0003703987,0.0001498091],"domain_scores_gemma":[0.9835001,0.008935142,0.004925209,0.001125952,0.0008380407,0.0006755407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005042418,0.0002828919,0.4125342,0.001226503,0.0004288669,0.002111085,0.4068466,0.0003973878,0.002557288,0.03760279,0.01989032,0.1156178],"study_design_scores_gemma":[0.0001880025,0.0004487947,0.484825,0.002002363,0.0004358787,0.003351501,0.3534151,0.001535243,0.001814133,0.0853406,0.06646888,0.0001744905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9260259,0.008407104,0.003041808,0.02955742,0.0002643404,0.00004076447,0.0001225697,0.00003838934,0.0325016],"genre_scores_gemma":[0.992172,0.0009525226,0.0002804284,0.005637994,0.00006060768,0.00001916842,0.0000261326,0.000006273452,0.0008448723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006091606,"threshold_uncertainty_score":0.03221589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185914022554822,"score_gpt":0.2959844992513557,"score_spread":0.2841253590258075,"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."}}