{"id":"W4403936079","doi":"10.1214/24-aoas1943","title":"Modeling trajectories using functional linear differential equations","year":2024,"lang":"en","type":"article","venue":"The Annals of Applied Statistics","topic":"Control Systems and Identification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Applied mathematics; Mathematics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001748016,0.001027138,0.0008523641,0.001067519,0.0003868684,0.001160429,0.001371018,0.001957873,0.003033835],"category_scores_gemma":[0.006471502,0.0006704,0.00113071,0.0008483329,0.0007861287,0.0009680659,0.001180834,0.00151475,0.0006570072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001254143,"about_ca_system_score_gemma":0.001249702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02367225,"about_ca_topic_score_gemma":0.01234167,"domain_scores_codex":[0.9994,0.0001984328,0.00003952267,0.0001827658,0.0001155864,0.00006363085],"domain_scores_gemma":[0.9975892,0.001588772,0.0003451908,0.00009564113,0.0003197053,0.00006152371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001213027,0.00001410901,0.0009906961,0.0000405882,0.00002133722,0.00004763404,0.00005933877,0.9807356,0.0005403106,0.01295034,0.0003034802,0.004284456],"study_design_scores_gemma":[0.000001831184,0.000004893489,0.00008236065,0.000003691989,0.000002578722,0.00000559383,0.000004370649,0.9973647,0.00005704161,0.002176272,0.0002931622,0.000003577771],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02014619,0.0002742076,0.9759642,0.0004443394,0.00004627611,0.00005485988,0.0004223285,0.0003524604,0.002295063],"genre_scores_gemma":[0.8148831,0.001136333,0.1638572,0.0003494085,0.0001202008,0.0009933376,0.001448984,0.0002763515,0.01693521],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02367225,"threshold_uncertainty_score":0.04706895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.103560067565298,"score_gpt":0.301589819681183,"score_spread":0.198029752115885,"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."}}