{"id":"W2124112270","doi":"10.1920/wp.cem.2011.1211","title":"Testing functional inequalities","year":2017,"lang":"en","type":"report","venue":"","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Economic and Social Research Council","keywords":"Inequality; Mathematics; Econometrics; Mathematical economics; Statistics; Applied mathematics; Computer science; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.01355031,0.0012723,0.001826639,0.002680836,0.0008164875,0.001932029,0.0024161,0.001620026,0.008294296],"category_scores_gemma":[0.1157782,0.0004038225,0.001380152,0.001822861,0.004271851,0.005447311,0.002988615,0.00289898,0.0007705894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001297935,"about_ca_system_score_gemma":0.001367028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001473504,"about_ca_topic_score_gemma":0.0005669503,"domain_scores_codex":[0.9822828,0.01108207,0.0006996368,0.002406967,0.002807786,0.0007207605],"domain_scores_gemma":[0.8171184,0.1681567,0.004271624,0.004581092,0.004802633,0.001069553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002395227,0.0001448284,0.009838981,0.0003352581,0.0002328071,0.0003340799,0.000323942,0.0629544,0.001794504,0.8229724,0.001966651,0.09886283],"study_design_scores_gemma":[0.0000619141,0.0002968755,0.002217129,0.0001021465,0.00003464069,0.0001984053,0.0001392654,0.2635374,0.001672994,0.7285935,0.003107482,0.00003822815],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04390958,0.0004909846,0.9441996,0.0009236725,0.0001075664,0.0001128247,0.0005131445,0.0001790197,0.009563594],"genre_scores_gemma":[0.8329312,0.0005958483,0.1602388,0.0005588409,0.0004416295,0.0006270494,0.001543144,0.0001690803,0.002894382],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01355031,"threshold_uncertainty_score":0.07166177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6748480270315351,"score_gpt":0.500564589508029,"score_spread":0.1742834375235062,"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."}}