{"id":"W3048515067","doi":"10.1371/journal.pone.0237326","title":"Generalized linear mixed quantile regression with panel data","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quantile; Mathematics; Quantile regression; Applied mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001670097,0.0001121242,0.0003029076,0.00001239724,0.00004661805,0.00002012921,0.0003139357,0.00004614201,0.0004144649],"category_scores_gemma":[0.002874284,0.00007352906,0.00001316626,0.0001141344,0.00004073255,0.00005791226,0.0001780795,0.000139733,0.00004977511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004868108,"about_ca_system_score_gemma":0.00002686914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001027223,"about_ca_topic_score_gemma":0.000002765006,"domain_scores_codex":[0.9989441,0.0001097485,0.0001956005,0.0002851959,0.0003092113,0.0001561118],"domain_scores_gemma":[0.998659,0.0005094348,0.00008285885,0.0005492142,0.0000658069,0.0001337527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002270671,0.00875049,0.006122327,0.005045445,0.001716075,0.0003209861,0.003076287,0.000005853865,0.3263451,0.5456241,0.07111829,0.02960438],"study_design_scores_gemma":[0.00399594,0.001525245,0.000993006,0.001906291,0.001157099,0.000006522238,0.0003052478,0.7112704,0.1705867,0.104947,0.002145407,0.001161107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6590013,0.00011001,0.3352432,0.003196711,0.00004290667,0.0004648729,0.0003891699,0.000272602,0.00127923],"genre_scores_gemma":[0.06017103,0.0000302532,0.9390867,0.0003352983,0.0001489587,0.000009006672,0.00004824413,0.00002500692,0.0001455194],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7112646,"threshold_uncertainty_score":0.45381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5269545590344936,"score_gpt":0.395786737025728,"score_spread":0.1311678220087656,"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."}}