{"id":"W4398348573","doi":"10.7910/dvn/ktwyz6/d6a2qf","title":"values-3.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; Finance; Economics; Computer science; Statistics; Mathematics; Computer security","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":[0.0009757046,0.002752387,0.001582475,0.004237253,0.0007191114,0.004454231,0.00264808,0.002225889,0.2322935],"category_scores_gemma":[0.006131478,0.001303556,0.001375651,0.009697571,0.0004243993,0.002783391,0.002141444,0.002401033,0.2817128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658959,"about_ca_system_score_gemma":0.001970098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02082765,"about_ca_topic_score_gemma":0.0287008,"domain_scores_codex":[0.9990008,0.0001602029,0.0001116121,0.0003158209,0.0002042522,0.000207299],"domain_scores_gemma":[0.9977263,0.0006133798,0.0002443603,0.0006036335,0.0005344058,0.0002778747],"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":[0.00003027925,0.00001018551,0.0004174982,0.0002521355,0.00001482616,0.000005754665,0.00001290385,0.0001257394,0.00003651417,0.000469255,0.9975165,0.00110841],"study_design_scores_gemma":[0.0001958575,0.00001469063,0.002341142,0.0002395701,0.00001764135,0.0000243158,0.00006373569,0.0003024735,0.0002090008,0.001981695,0.9945833,0.00002659236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003463425,0.00002632644,0.00002741336,0.000036465,0.00001552723,0.00000310239,0.998752,0.0004080042,0.0006966168],"genre_scores_gemma":[0.0003043632,0.00004969554,0.000146725,0.00005390425,0.00001074182,0.00003135864,0.9983841,0.0002102453,0.0008088773],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7677065,"threshold_uncertainty_score":0.7770993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738743365633717,"score_gpt":0.2238022256683009,"score_spread":0.2064147920119637,"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."}}