{"id":"W4398620104","doi":"10.7910/dvn/ktwyz6/0wtm3i","title":"rightv2_pooled_controls.tex","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; Actuarial science; Economics; 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":["insufficient_payload"],"category_scores_codex":[0.001960484,0.002148283,0.001493966,0.003392023,0.0007423129,0.003575966,0.002552956,0.00202136,0.3512962],"category_scores_gemma":[0.01178944,0.001048507,0.001589758,0.004967347,0.0004854271,0.001452975,0.002445725,0.001605093,0.2723905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001094934,"about_ca_system_score_gemma":0.001773392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02853625,"about_ca_topic_score_gemma":0.03578998,"domain_scores_codex":[0.9987831,0.0002559702,0.0001089157,0.0003999012,0.0001954414,0.0002567572],"domain_scores_gemma":[0.9966581,0.0009787665,0.0004202767,0.0009850084,0.0006634258,0.0002945184],"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":[0.00005478924,0.00001217761,0.000920237,0.0002008357,0.00004499273,0.000008364306,0.00001084865,0.0001028677,0.00003766816,0.0003888764,0.9965545,0.001663966],"study_design_scores_gemma":[0.0005451025,0.00002786236,0.006294672,0.0002915463,0.00009279892,0.0000399445,0.00006759911,0.0003017918,0.0003774112,0.001940496,0.9899861,0.00003457188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009386991,0.0000439881,0.00009816013,0.00009248134,0.00004028956,0.000007856641,0.9983687,0.0003536525,0.0009010489],"genre_scores_gemma":[0.001042827,0.00006654116,0.0004280135,0.0001492865,0.00005468331,0.0001471732,0.9927816,0.000384325,0.004945448],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6487038,"threshold_uncertainty_score":0.9252973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228067172604111,"score_gpt":0.2087866797025442,"score_spread":0.1965060079765031,"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."}}