{"id":"W4398690606","doi":"10.7910/dvn/ktwyz6/shbokp","title":"MTR-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; 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":[0.001162623,0.002017907,0.00138031,0.003431445,0.0006702492,0.003081728,0.002650163,0.001930321,0.1311652],"category_scores_gemma":[0.007244757,0.0007884988,0.00114009,0.006456481,0.0003780664,0.00186949,0.002337089,0.001710898,0.2015534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296338,"about_ca_system_score_gemma":0.001848944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02862303,"about_ca_topic_score_gemma":0.03447317,"domain_scores_codex":[0.9990784,0.0001612511,0.00009552947,0.0002699364,0.000199073,0.0001958157],"domain_scores_gemma":[0.9976555,0.0004280703,0.0002597457,0.0007337881,0.0005922847,0.0003306446],"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":[0.00002979871,0.000007188286,0.0004018185,0.0001642956,0.00001241638,0.000004863796,0.000008957457,0.00009310556,0.0000315918,0.0003011237,0.9979764,0.0009684989],"study_design_scores_gemma":[0.0002185794,0.00001852876,0.003759115,0.0002241302,0.00002351871,0.00002441667,0.0000612419,0.0004799815,0.0002491888,0.001425608,0.9934894,0.00002645092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004844629,0.00002619125,0.00003463962,0.00004825562,0.00001935671,0.000003842817,0.9988316,0.0004123423,0.0005752898],"genre_scores_gemma":[0.0002924303,0.00003126091,0.0001235552,0.00004321204,0.00001000876,0.00003569186,0.9985318,0.0001402796,0.0007916887],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8688348,"threshold_uncertainty_score":0.4387914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01760525111693646,"score_gpt":0.22117733163154,"score_spread":0.2035720805146035,"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."}}