{"id":"W2951077818","doi":"","title":"\"Money, less problems\": Wealth level affects the selection of optimal endpoint in an aiming task with positive and negative outcomes","year":2012,"lang":"en","type":"article","venue":"","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Dalhousie University","funders":"","keywords":"Lottery; Task (project management); Point (geometry); Psychology; Economics; Actuarial science; Microeconomics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001539234,0.0004648403,0.0003542289,0.0003094126,0.0003381838,0.001305621,0.0003835526,0.0008417579,0.00998883],"category_scores_gemma":[0.01317617,0.0003748984,0.0002624307,0.0001609233,0.0005061323,0.001093685,0.001061469,0.000945483,0.0005356199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001896084,"about_ca_system_score_gemma":0.0002078411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000612648,"about_ca_topic_score_gemma":0.0007008821,"domain_scores_codex":[0.9995025,0.0001921041,0.00004683188,0.000102365,0.0001039503,0.00005227365],"domain_scores_gemma":[0.9933912,0.003949869,0.001436169,0.0004089409,0.0001349617,0.0006788913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04917194,0.009620223,0.4059906,0.001550161,0.0008963295,0.001490678,0.01610461,0.006284753,0.4025256,0.007090695,0.004018208,0.09525627],"study_design_scores_gemma":[0.001115375,0.005525426,0.9696593,0.0001325862,0.000346681,0.0004212208,0.001553257,0.008023237,0.006748347,0.004961129,0.001393884,0.0001195855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977077,0.00002512084,0.0003115611,0.00003604309,0.000006510078,0.00001649575,0.00002653801,0.00001069954,0.001859215],"genre_scores_gemma":[0.9970015,0.00003370103,0.001561999,0.00008225555,0.000004964534,0.0000764299,0.00006665667,0.00002051936,0.001152061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00998883,"threshold_uncertainty_score":0.03341603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1580351275432386,"score_gpt":0.3912383683658394,"score_spread":0.2332032408226009,"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."}}