{"id":"W1769969722","doi":"10.2307/25148748","title":"Information Technology and Pricing Decisions: Price Adjustments in Online Computer Markets1","year":2006,"lang":"en","type":"article","venue":"MIS Quarterly","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Information technology; Business; Economics; Marketing; Industrial organization; Microeconomics; Financial economics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002279166,0.0002490572,0.0003559584,0.001026417,0.0004560263,0.002650609,0.0004817362,0.001123187,0.005582873],"category_scores_gemma":[0.03169462,0.0003215135,0.0003354622,0.002174042,0.0009966048,0.004066948,0.000700641,0.001024193,0.0005206552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009760732,"about_ca_system_score_gemma":0.0004222323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004912398,"about_ca_topic_score_gemma":0.004336029,"domain_scores_codex":[0.9988267,0.0006056089,0.00007917479,0.0001328137,0.0002343175,0.0001213509],"domain_scores_gemma":[0.9675025,0.02251784,0.007477448,0.0009189554,0.0009770499,0.0006062558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000877224,0.002438254,0.8492628,0.0001766567,0.0002475986,0.0006409101,0.003701714,0.02231868,0.002913742,0.03229788,0.002515767,0.08260867],"study_design_scores_gemma":[0.00005921328,0.0002750302,0.8893284,0.00003273575,0.00006150369,0.0002602196,0.001664047,0.07767068,0.0008684631,0.02698982,0.002719369,0.0000705975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896361,0.0002781666,0.002962609,0.0004828285,0.00001013542,0.00003325526,0.0001175207,0.00001758449,0.006461729],"genre_scores_gemma":[0.9986927,0.0001002767,0.0005671126,0.00004110788,0.0000110004,0.00001052042,0.00005918886,0.000004965686,0.0005131414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005582873,"threshold_uncertainty_score":0.01867658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00858065838390211,"score_gpt":0.217112267492,"score_spread":0.2085316091080979,"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."}}