{"id":"W4403615186","doi":"10.1111/1475-4932.12838","title":"Inequality of Opportunity and the Probability of Being Very Rich or Very Poor","year":2024,"lang":"en","type":"article","venue":"Economic Record","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Australian Research Council","keywords":"Inequality; Economics; Mathematics","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":[0.001229157,0.000250551,0.0003840185,0.001114862,0.0009244067,0.002055841,0.0005999288,0.0009756009,0.0116096],"category_scores_gemma":[0.006114485,0.0002062558,0.000550241,0.0008183608,0.001465412,0.0009466594,0.001773795,0.001757259,0.0009926382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008103664,"about_ca_system_score_gemma":0.0004662001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01372132,"about_ca_topic_score_gemma":0.01493658,"domain_scores_codex":[0.9991459,0.0002782319,0.00002935772,0.00009250797,0.0001022099,0.000351865],"domain_scores_gemma":[0.9956861,0.002297363,0.001034243,0.000183323,0.0001084901,0.000690633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002267516,0.000268728,0.9457868,0.00003701444,0.0001945667,0.0004243418,0.0009361806,0.009713748,0.0001933431,0.02448972,0.001607882,0.01612096],"study_design_scores_gemma":[0.00003167125,0.0003976276,0.9158407,0.0001416843,0.0002313889,0.0008201415,0.002331575,0.04653344,0.0003146402,0.0262195,0.007076065,0.00006159989],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816868,0.0006789269,0.00375464,0.001789449,0.00005041689,0.00003958196,0.0006328407,0.00002593611,0.01134142],"genre_scores_gemma":[0.9965305,0.0001719034,0.000167601,0.00003786055,0.00001924598,0.00001319079,0.000144433,0.000002652251,0.00291259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01372132,"threshold_uncertainty_score":0.03883803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06764218363878342,"score_gpt":0.3209891012518173,"score_spread":0.2533469176130339,"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."}}