{"id":"W4398288569","doi":"10.7910/dvn/ktwyz6/miljed","title":"form-checkpoint.py","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 security; Computer science; 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":[0.001285293,0.002408209,0.001695438,0.003571817,0.0007732556,0.004762826,0.003205643,0.002111888,0.2988982],"category_scores_gemma":[0.007891652,0.001316999,0.001302765,0.007545391,0.0004419661,0.002984405,0.003213489,0.001858099,0.4361261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001427728,"about_ca_system_score_gemma":0.001716239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01763956,"about_ca_topic_score_gemma":0.02320604,"domain_scores_codex":[0.9990088,0.0001712402,0.000107379,0.0003345996,0.000168267,0.0002096297],"domain_scores_gemma":[0.9973997,0.0005564576,0.0002332923,0.0009442726,0.0005266207,0.0003396593],"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":[0.00003386828,0.000007811547,0.0003808689,0.0001683073,0.00001125924,0.000004739343,0.00001258962,0.00006100339,0.00002504121,0.0003320721,0.9976617,0.001300816],"study_design_scores_gemma":[0.00015499,0.00001147095,0.0018543,0.0001529321,0.00001238526,0.00001889856,0.00004762784,0.0002306258,0.0001787169,0.001654279,0.9956626,0.00002107692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004859983,0.00003249029,0.00006088458,0.00005872274,0.000020866,0.000006531734,0.9973247,0.001253575,0.001193581],"genre_scores_gemma":[0.000496481,0.00005864815,0.0002160198,0.00008589667,0.00001605168,0.0000564909,0.9969532,0.0005681394,0.001549017],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7011018,"threshold_uncertainty_score":0.9999141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739285570085641,"score_gpt":0.2223510246277254,"score_spread":0.204958168926869,"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."}}