{"id":"W2248114916","doi":"","title":"Appendix tables for The Prince and the Pauper: Movement of Children up and down the Canadian Income Distribution","year":2014,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Movement (music); Appendix; History; Mathematics; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008749274,0.0008456164,0.001045637,0.006786691,0.003609451,0.002359767,0.002584985,0.0007667606,0.6556312],"category_scores_gemma":[0.01403953,0.0007018232,0.0009219504,0.01686513,0.0004420084,0.00146616,0.001173547,0.001688651,0.09613357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01638041,"about_ca_system_score_gemma":0.0223416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9494874,"about_ca_topic_score_gemma":0.9693291,"domain_scores_codex":[0.9989672,0.00005643114,0.00009778362,0.0001094925,0.0004403586,0.0003287899],"domain_scores_gemma":[0.9816028,0.002592946,0.000787689,0.0004386979,0.01349179,0.001086195],"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":[0.00001119525,0.00002519907,0.002488902,0.000151356,0.000006067229,0.00002030739,0.0001189235,0.000181104,0.000007623854,0.001777,0.9882704,0.006942046],"study_design_scores_gemma":[0.0001361915,0.00001950196,0.08881663,0.0003984296,0.00003319768,0.0001151177,0.002308209,0.0004739835,0.0001050546,0.003338047,0.904178,0.00007756807],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00138074,0.0002064469,0.0003119271,0.0008347395,0.000263194,0.0003275318,0.9614288,0.0002399965,0.03500656],"genre_scores_gemma":[0.02027408,0.001066511,0.004542028,0.0006296562,0.0002300471,0.001498607,0.8302583,0.0003973213,0.1411035],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6556312,"threshold_uncertainty_score":0.4912003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167161455419365,"score_gpt":0.181771421925748,"score_spread":0.1700998073715544,"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."}}