{"id":"W4318711953","doi":"10.2139/ssrn.4325813","title":"Adult Income Prediction Using various ML Algorithms","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lambton College","funders":"","keywords":"Algorithm; Computer science; Econometrics; 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":[0.006656283,0.001202788,0.001409497,0.001969693,0.0006933844,0.001628316,0.001498097,0.001300308,0.00425197],"category_scores_gemma":[0.01514525,0.0003950711,0.001281454,0.001324508,0.0003342027,0.001715647,0.001034371,0.001591761,0.001634752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005242887,"about_ca_system_score_gemma":0.001140832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005977643,"about_ca_topic_score_gemma":0.003946668,"domain_scores_codex":[0.9988691,0.0005700844,0.0001136739,0.0002311705,0.0001100931,0.0001057704],"domain_scores_gemma":[0.9916717,0.006676299,0.0002293193,0.0004234444,0.0008345939,0.0001645864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001823363,0.0009022152,0.06225992,0.0001670618,0.0005996947,0.0001580677,0.0001173109,0.5325272,0.0007581888,0.003746303,0.006966206,0.3899744],"study_design_scores_gemma":[0.00003593928,0.00006001249,0.002831485,0.00001559543,0.00005448973,0.00001996971,0.00001982637,0.9948644,0.0004069567,0.001455713,0.000225981,0.000009713655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3802284,0.003137466,0.6002879,0.002012248,0.0004662875,0.0002276063,0.002635218,0.005378049,0.005626781],"genre_scores_gemma":[0.8401135,0.000701305,0.1516855,0.000390959,0.0003571106,0.0001739841,0.003401428,0.000146932,0.003029191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006656283,"threshold_uncertainty_score":0.03520226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554085379103332,"score_gpt":0.2991394890255707,"score_spread":0.2835986352345374,"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."}}