{"id":"W4398291108","doi":"10.7910/dvn/ktwyz6/ljjp8o","title":"example-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); Finance; Business; Computer science; Economics; Computer security; Mathematics","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":[0.001162876,0.002651174,0.001327541,0.003419609,0.000944885,0.003273045,0.00276375,0.002593296,0.1635],"category_scores_gemma":[0.00632343,0.001007047,0.001701789,0.005093624,0.0004733507,0.002220199,0.002367231,0.002159609,0.1624576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603089,"about_ca_system_score_gemma":0.001763753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02591888,"about_ca_topic_score_gemma":0.04052552,"domain_scores_codex":[0.999124,0.0001665919,0.00007909186,0.000261548,0.0001944397,0.0001742421],"domain_scores_gemma":[0.9979271,0.000642487,0.00012292,0.0007297992,0.0003476188,0.0002300902],"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":[0.00003752012,0.00001359038,0.0003065261,0.0002873149,0.00001600704,0.000007874978,0.00001624735,0.0001939063,0.00004744598,0.0004595941,0.9974946,0.001119346],"study_design_scores_gemma":[0.0003283116,0.00001906421,0.002206258,0.0002753283,0.00002673698,0.00004109865,0.00007190244,0.001073798,0.00037391,0.002450895,0.9931002,0.00003264646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000116823,0.0000473545,0.00008940343,0.00007743253,0.00003148368,0.000007651556,0.9970138,0.001453972,0.001162032],"genre_scores_gemma":[0.0005188382,0.00005696223,0.0003810905,0.00006450968,0.000008140075,0.0000503984,0.9978382,0.0003543691,0.0007274503],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8365,"threshold_uncertainty_score":0.5469618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0272056366661613,"score_gpt":0.2253957361155974,"score_spread":0.1981900994494361,"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."}}