{"id":"W4396943286","doi":"10.3150/23-bej1653","title":"Functional linear quantile regression on a two-dimensional domain","year":2024,"lang":"en","type":"article","venue":"Bernoulli","topic":"Control Systems and Identification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Quantile regression; Statistics; Regression; Econometrics; Quantile; Domain (mathematical analysis); Linear regression; Applied mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001379388,0.0001041684,0.00009485893,0.00008902775,0.0000556917,0.00005450518,0.00004496281,0.00005182737,0.0003259239],"category_scores_gemma":[0.00000758758,0.00008466744,0.00006979511,0.0001162273,0.00000980522,0.00007929619,0.00001020113,0.0001251372,0.00181588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005718999,"about_ca_system_score_gemma":0.00001497331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002668931,"about_ca_topic_score_gemma":0.00001319188,"domain_scores_codex":[0.999301,0.00001592864,0.0001639198,0.0001768571,0.0002151778,0.0001271369],"domain_scores_gemma":[0.9997151,0.00005003644,0.00001158101,0.0001554884,0.00002157638,0.00004621372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001018483,0.000110432,0.0002319367,0.0003291087,0.0002118887,0.00009242436,0.0003621796,0.138712,0.3071346,0.03897669,0.476743,0.03699388],"study_design_scores_gemma":[0.0008083032,0.00006639361,0.005387569,0.0006821433,0.00002943335,0.0000494118,0.00003713938,0.5345947,0.004490137,0.001915847,0.4515315,0.0004074753],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699288,0.00409716,0.007199469,0.0008158328,0.006803439,0.0003269692,0.00005274872,0.001194948,0.009580635],"genre_scores_gemma":[0.9949519,0.000007603508,0.000193752,0.00002602226,0.0007281984,0.00002980644,0.00005656188,0.00002955722,0.003976598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3958826,"threshold_uncertainty_score":0.9989613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517884870895439,"score_gpt":0.2434743048009831,"score_spread":0.2282954560920287,"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."}}