{"id":"W4398277626","doi":"10.7910/dvn/ktwyz6/nkf6z0","title":"__init__.py","year":2020,"lang":"ja","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); Finance; Business; Computer science; 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":[0.001618469,0.002144857,0.001654356,0.004733648,0.0007799322,0.00514458,0.003149979,0.001971482,0.2865723],"category_scores_gemma":[0.0117984,0.001200034,0.001197516,0.008762,0.0005211453,0.002763396,0.003415907,0.001799154,0.3552758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296211,"about_ca_system_score_gemma":0.001823292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01753036,"about_ca_topic_score_gemma":0.02084356,"domain_scores_codex":[0.9988753,0.0002259577,0.0001293436,0.0003289124,0.0002032608,0.000237194],"domain_scores_gemma":[0.9956658,0.001060601,0.0004916642,0.00133903,0.0007834983,0.0006594867],"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":[0.0000321384,0.000008054448,0.0005287798,0.000283686,0.00001686718,0.000005041258,0.00001493942,0.00006633959,0.0000279932,0.000382948,0.9973354,0.001297698],"study_design_scores_gemma":[0.0001668226,0.00001384118,0.002751436,0.0002701146,0.0000205258,0.0000185482,0.00005138505,0.0002339817,0.0001814394,0.00135873,0.9949072,0.00002602707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000344464,0.00003454776,0.00004280285,0.00006104049,0.00002206494,0.000004883819,0.9983255,0.0006516986,0.0008229534],"genre_scores_gemma":[0.0004157746,0.00006773031,0.0001724149,0.00009574661,0.00002116544,0.00006574226,0.9976119,0.0004272649,0.001122309],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7134277,"threshold_uncertainty_score":0.95868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869966953011195,"score_gpt":0.2245223296606684,"score_spread":0.2058226601305564,"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."}}