{"id":"W4395010296","doi":"10.1002/nav.22190","title":"Forecasting using reference prices with exposure effect","year":2024,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Econometrics; Economics; Computer science; Statistics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003342571,0.0008114471,0.001028558,0.00140624,0.0002405438,0.001332365,0.001300262,0.001390445,0.002064897],"category_scores_gemma":[0.01930813,0.0004118287,0.0007852812,0.001492771,0.0004739982,0.003019331,0.0007129503,0.001592373,0.0004463243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006131516,"about_ca_system_score_gemma":0.0003834089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005183056,"about_ca_topic_score_gemma":0.002311733,"domain_scores_codex":[0.9985812,0.0004218141,0.00008887307,0.0004289369,0.000375849,0.0001033338],"domain_scores_gemma":[0.9902163,0.006629058,0.0009974025,0.001132529,0.0008609204,0.0001639369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003368389,0.0002347061,0.03351122,0.00009733692,0.0002118673,0.0002129045,0.0001176656,0.806247,0.003167994,0.02302898,0.001876087,0.1309574],"study_design_scores_gemma":[0.00000617095,0.00003692217,0.002513152,0.000005614374,0.00001606726,0.00001816649,0.00000667294,0.990864,0.0004890834,0.005800082,0.0002298775,0.00001416115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2869605,0.0004998784,0.7065428,0.0005262583,0.0001838231,0.00006960108,0.0004851944,0.000739,0.003992992],"genre_scores_gemma":[0.9652869,0.0001938008,0.03297501,0.00007356679,0.0001254445,0.00003343439,0.000348927,0.0000226858,0.0009403059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005183056,"threshold_uncertainty_score":0.01767743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7213806515626001,"score_gpt":0.5756521973754204,"score_spread":0.1457284541871797,"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."}}