{"id":"W6966724386","doi":"10.3886/e193226v1","title":"Code for: Why Do Retired Households Draw Down Their Wealth So Slowly?","year":2023,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Exploit; Empirical research; Code (set theory); Empirical evidence; Consumption (sociology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.005611134,0.002320046,0.002609457,0.001193358,0.001263364,0.002426572,0.01497034,0.001978307,0.0003309246],"category_scores_gemma":[0.002841131,0.002240659,0.0005803022,0.002345891,0.001089483,0.001918931,0.00731895,0.00235156,0.03106878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008261384,"about_ca_system_score_gemma":0.001278477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005547876,"about_ca_topic_score_gemma":0.008798596,"domain_scores_codex":[0.987175,0.0004073088,0.002108136,0.005130304,0.002103019,0.003076155],"domain_scores_gemma":[0.9754878,0.001377902,0.002159113,0.01964089,0.0003777124,0.0009565622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003582544,0.0002564871,0.00001846465,0.00105535,0.0005879793,0.0001313524,0.0001378864,0.000005449869,0.000347804,0.0001019323,0.9963036,0.0006954518],"study_design_scores_gemma":[0.002300085,0.0002883748,0.0000555533,0.001118462,0.0007716956,0.00007092256,0.0001302708,0.0001363769,0.0001076147,0.0006884323,0.9919575,0.00237469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002489566,0.001342856,0.00005406235,0.001029477,0.003440636,0.003298223,0.9879854,0.002549622,0.00005081746],"genre_scores_gemma":[0.00003719292,0.003671899,0.0008011972,0.002151837,0.002515247,0.0006088532,0.9880858,0.00162261,0.0005053409],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03073785,"threshold_uncertainty_score":0.9999501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09970147020429482,"score_gpt":0.3376390857588574,"score_spread":0.2379376155545626,"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."}}