{"id":"W4214651510","doi":"10.1007/s001840200183","title":"Quantile models and estimators for data analysis","year":2002,"lang":"en","type":"article","venue":"Metrika","topic":"School Choice and Performance","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Quantile; Quantile regression; Mathematics; Estimator; Statistics; Econometrics; Regression analysis; Conditional probability distribution; Regression","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005899575,0.00004730992,0.0001180908,0.0001755321,0.0002889068,0.00008007421,0.0002852915,0.00004242737,0.0002707866],"category_scores_gemma":[0.0003028133,0.00004325206,0.00003437056,0.001093276,0.000053824,0.0005069788,0.00004248881,0.0000394815,0.0000220853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001136992,"about_ca_system_score_gemma":0.00001230469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001155719,"about_ca_topic_score_gemma":0.001868299,"domain_scores_codex":[0.999347,0.00002554799,0.00009241052,0.0001915336,0.0001741092,0.000169447],"domain_scores_gemma":[0.9993805,0.0001865279,0.00003417908,0.0002894765,0.00003307521,0.00007622101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004199812,0.0002409709,0.4758046,0.00008000485,0.001090439,0.000004607781,0.01704255,0.002273088,0.00002868022,0.0322671,0.2248968,0.2462291],"study_design_scores_gemma":[0.000233054,0.00002242312,0.003008489,0.000003984409,0.0003293492,1.690076e-7,0.0005500049,0.766018,0.00002160379,0.001497253,0.2281592,0.0001564741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8079901,0.01192939,0.1197264,0.005186168,0.000659499,0.0007730515,0.0003207714,0.0002739807,0.05314068],"genre_scores_gemma":[0.9896197,0.0006856691,0.007440246,0.0001316278,0.0001820148,0.000007879771,0.00002136198,0.000004723027,0.001906733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7637449,"threshold_uncertainty_score":0.2964923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2440406771321667,"score_gpt":0.4018379204598679,"score_spread":0.1577972433277013,"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."}}