{"id":"W1598911098","doi":"10.1111/j.1553-2712.2012.01386.x","title":"Why Quantile Regression Makes Good Sense for Analyzing Economic Outcomes in Medical Research","year":2012,"lang":"en","type":"letter","venue":"Academic Emergency Medicine","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Family Medicine","funders":"","keywords":"Medicine; Quantile regression; Econometrics; Statistics","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":[0.08511401,0.0007771379,0.002829031,0.001779374,0.003005316,0.007748861,0.002328097,0.03195179,0.005855953],"category_scores_gemma":[0.383554,0.00100356,0.001755389,0.00262546,0.01182414,0.009854689,0.003164907,0.05573879,0.003454162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004434649,"about_ca_system_score_gemma":0.005673205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01033191,"about_ca_topic_score_gemma":0.01075656,"domain_scores_codex":[0.9473026,0.03403683,0.004946604,0.003811523,0.008144659,0.001757858],"domain_scores_gemma":[0.5045698,0.4398889,0.008775773,0.00965375,0.0312665,0.005845302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002353287,0.00006833644,0.006349961,0.0002845012,0.0001744342,0.0007485894,0.0005182846,0.0004971463,0.0001299203,0.04996264,0.8804265,0.06060435],"study_design_scores_gemma":[0.0005146532,0.0001413029,0.009748149,0.002220406,0.0002237502,0.001543256,0.002029564,0.005422032,0.0006500282,0.5601748,0.4169336,0.0003984213],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003422512,0.001868009,0.0009323311,0.9926152,0.003333713,0.000005431314,0.00006895086,0.00001651163,0.0008175477],"genre_scores_gemma":[0.01853764,0.003573945,0.003778022,0.9186009,0.05376314,0.0000719703,0.00006470046,0.0001050384,0.001504703],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08511401,"threshold_uncertainty_score":0.4501313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2276073668349216,"score_gpt":0.4467250353594214,"score_spread":0.2191176685244999,"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."}}