{"id":"W4398631041","doi":"10.7910/dvn/ktwyz6/dptmef","title":"values-checkpoint.tab","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Replication (statistics); Asset (computer security); Business; Computer science; Finance; Actuarial science; Computer security; Mathematics; Statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009431653,0.002614686,0.001533855,0.003906035,0.0007081959,0.004199766,0.002544422,0.002214372,0.2276947],"category_scores_gemma":[0.005999033,0.001283678,0.001200773,0.008238357,0.0004262262,0.003122488,0.002345701,0.002278522,0.3134613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001704246,"about_ca_system_score_gemma":0.001886171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01869313,"about_ca_topic_score_gemma":0.02434854,"domain_scores_codex":[0.9991192,0.0001305107,0.00009789499,0.000277748,0.0001902617,0.0001843645],"domain_scores_gemma":[0.9976809,0.0005373537,0.0002181381,0.0007189147,0.0005560797,0.000288536],"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":[0.00003049694,0.00000906374,0.0003722074,0.0002002102,0.0000105347,0.000004724538,0.00001175621,0.0001027921,0.00003306017,0.0004322442,0.9975125,0.001280441],"study_design_scores_gemma":[0.0001489593,0.00001198585,0.001967748,0.0001778278,0.00001171435,0.00001876993,0.00004998855,0.0002714951,0.0002260115,0.00168569,0.9954067,0.00002307475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003941211,0.00003005682,0.00003525384,0.00004568268,0.00001948265,0.000003775707,0.9981633,0.000702205,0.0009608331],"genre_scores_gemma":[0.0004063791,0.00005574095,0.0001508792,0.00006533099,0.00001200779,0.00003214461,0.9980075,0.0003059449,0.000964188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7723053,"threshold_uncertainty_score":0.7617147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818018209658977,"score_gpt":0.2268681453519595,"score_spread":0.2086879632553697,"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."}}