{"id":"W2128054485","doi":"10.1002/jae.828","title":"Intertemporal pricing and price discrimination: a semiparametric hedonic analysis of the personal computer market","year":2006,"lang":"en","type":"article","venue":"Journal of Applied Econometrics","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economics; Personal computer; Differential (mechanical device); Econometrics; Price discrimination; Microeconomics; Computer science","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":[0.001015655,0.0001405157,0.0004304637,0.003262102,0.00009923353,0.000202855,0.0002574823,0.00005182151,0.0001800164],"category_scores_gemma":[0.00005489206,0.0001045623,0.0002441809,0.006019734,0.00005658044,0.0004147785,0.0001825351,0.000197016,0.000001365972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006371513,"about_ca_system_score_gemma":0.00002796245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008967146,"about_ca_topic_score_gemma":0.00004067921,"domain_scores_codex":[0.9987227,0.00001017735,0.0006778075,0.0001612649,0.0002601501,0.0001678626],"domain_scores_gemma":[0.9982818,0.0002497016,0.001151301,0.0001325529,0.0001692819,0.00001531719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009129603,0.0001732193,0.959715,0.0001704163,0.00044505,0.000004201744,0.0001261636,0.0008506881,0.00005890926,0.001669431,0.001607532,0.03508811],"study_design_scores_gemma":[0.0004613324,0.00001136719,0.9651127,0.00002400128,0.00131534,0.000007145193,0.0001597934,0.02975048,0.00001612186,0.0002635299,0.002733027,0.0001451738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828802,0.0002385198,0.002059411,0.000143533,0.0002505795,0.0001108456,0.000002555199,0.000007307016,0.01430699],"genre_scores_gemma":[0.9989723,0.00001893244,0.0004565974,0.0001665248,0.0002989605,0.000001474244,0.000003134603,0.00001102288,0.00007107713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03494293,"threshold_uncertainty_score":0.4263925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741482758241545,"score_gpt":0.2094736165698399,"score_spread":0.1920587889874244,"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."}}