{"id":"W4398468175","doi":"10.7910/dvn/ktwyz6/rohivz","title":"values-4.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; Economics; 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":[0.0009776247,0.002703348,0.001553467,0.004345496,0.0007057617,0.004404669,0.002616683,0.002212889,0.2358142],"category_scores_gemma":[0.006179256,0.001287336,0.001352144,0.009853531,0.0004260777,0.002753312,0.002138229,0.002417248,0.2918451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00166138,"about_ca_system_score_gemma":0.001949234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02012857,"about_ca_topic_score_gemma":0.02797813,"domain_scores_codex":[0.9990221,0.00016095,0.0001081966,0.0003033796,0.0002001382,0.0002050703],"domain_scores_gemma":[0.9977701,0.0005967131,0.0002393886,0.0005881885,0.0005201002,0.0002854369],"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":[0.00003021404,0.00001027672,0.0004135329,0.0002571733,0.00001461677,0.000005685617,0.00001318957,0.000125065,0.00003675287,0.00048449,0.9974903,0.001118648],"study_design_scores_gemma":[0.0001958924,0.00001488675,0.002354633,0.0002493709,0.00001722953,0.000023541,0.00006351821,0.000288826,0.0002054488,0.001959242,0.9946014,0.00002609242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000035012,0.00002737944,0.00002733567,0.00003771229,0.00001606265,0.000003242392,0.9987232,0.0003991385,0.0007309486],"genre_scores_gemma":[0.0003042073,0.00005277303,0.0001481357,0.00005430702,0.00001085105,0.00003147432,0.9983354,0.0002110924,0.0008516829],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7641858,"threshold_uncertainty_score":0.7888772,"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."}}