{"id":"W6950720431","doi":"10.5683/sp3/mkjhki","title":"Replication Data and Code for: Child cash benefits and family expenditures: Evidence from the National Child Benefit","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cash; Replication (statistics); Replicate; Code (set theory); Data file; Download","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003614663,0.001719389,0.001366609,0.003795555,0.0009290273,0.002966095,0.003573824,0.002172639,0.2313709],"category_scores_gemma":[0.03179947,0.001427418,0.00187956,0.007349297,0.0005403684,0.001712451,0.002237616,0.002888504,0.1172086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002414693,"about_ca_system_score_gemma":0.004202074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08535115,"about_ca_topic_score_gemma":0.1097527,"domain_scores_codex":[0.9974624,0.0006155547,0.0004204694,0.0005540286,0.00060128,0.0003462658],"domain_scores_gemma":[0.9869792,0.00405742,0.001699321,0.002643311,0.003957538,0.0006632201],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000665025,0.00001616641,0.0007853098,0.000300545,0.0000332235,0.0000094388,0.00001886854,0.0001534914,0.00002051677,0.0004216519,0.9971592,0.00101499],"study_design_scores_gemma":[0.002099189,0.00004978303,0.01662822,0.00065048,0.0001299553,0.00007161916,0.0002122552,0.0004967753,0.0002762704,0.002470738,0.9768375,0.00007715365],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000966251,0.00002063203,0.00006042275,0.00008536891,0.00002737745,0.00003472094,0.9988971,0.0001209618,0.0006567634],"genre_scores_gemma":[0.001084159,0.00003463239,0.0005183696,0.0001312992,0.00001733467,0.0006769776,0.9946511,0.000194031,0.002692035],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9963853,"threshold_uncertainty_score":0.7740127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08788484936262217,"score_gpt":0.3306692553183441,"score_spread":0.242784405955722,"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."}}