{"id":"W4398695798","doi":"10.7910/dvn/ktwyz6/44ulbc","title":"preferences-checkpoint.ipynb","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; Computer science; Computer security; Medicine","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":[0.0009960524,0.002259145,0.001325188,0.002769212,0.0007132769,0.003083228,0.002524777,0.00193967,0.171956],"category_scores_gemma":[0.005895021,0.000988442,0.001398485,0.00575563,0.0003647387,0.00216016,0.002155128,0.001996757,0.2305269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001323323,"about_ca_system_score_gemma":0.001742337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02391081,"about_ca_topic_score_gemma":0.03553043,"domain_scores_codex":[0.9991959,0.0001378092,0.0000753308,0.0002430734,0.0001632092,0.0001847804],"domain_scores_gemma":[0.9979787,0.0004487994,0.0001647741,0.0007304992,0.0004061992,0.0002710072],"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":[0.00004123407,0.00001140788,0.0004283121,0.0001786101,0.00001340068,0.000004976514,0.00001090664,0.0001356378,0.00003344757,0.0003469513,0.9977311,0.001063928],"study_design_scores_gemma":[0.0002929148,0.00002039561,0.00345424,0.0002085604,0.00002328652,0.00002911351,0.0000773121,0.0007936394,0.0003206744,0.002376742,0.9923702,0.0000327728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006493326,0.00002224851,0.00004407416,0.00004461249,0.00001679986,0.000004169474,0.9984624,0.0006037307,0.0007370365],"genre_scores_gemma":[0.0003946795,0.00003303546,0.0001686004,0.00005177667,0.000008554699,0.00003978921,0.998271,0.000208017,0.0008245051],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.828044,"threshold_uncertainty_score":0.5752501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02373307366517058,"score_gpt":0.2272680955452668,"score_spread":0.2035350218800962,"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."}}