{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002195647,0.0001421459,0.0001627204,0.0009751249,0.00008956645,0.0001949478,0.00013318,0.00008455788,0.00005897056],"category_scores_gemma":[0.00002284167,0.0001370101,0.00002519528,0.0007634552,0.00002844854,0.001269345,0.00004838064,0.0001322859,0.00005890258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002523194,"about_ca_system_score_gemma":0.00000843576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006925591,"about_ca_topic_score_gemma":0.0003815497,"domain_scores_codex":[0.9990901,0.000009080147,0.0003712203,0.0001480022,0.000144091,0.0002375192],"domain_scores_gemma":[0.999562,0.000061804,0.0001354251,0.0001631232,0.0000698744,0.000007762282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002198201,0.00008999545,0.2700345,0.00004498594,0.000004514795,0.000008045844,0.0001101932,0.000006318057,0.0001067249,0.0008082664,0.0008918728,0.7278726],"study_design_scores_gemma":[0.001000112,0.000027012,0.964557,0.00012521,0.00002470507,0.000008072494,0.0005036913,0.006239053,0.000003752804,0.001702003,0.02558827,0.0002211016],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927447,0.0001299725,0.003178816,0.0004209708,0.0001626614,0.0002349362,0.000002355072,0.0001117664,0.003013817],"genre_scores_gemma":[0.9973385,0.000004960695,0.001914742,0.0004522546,0.0001577719,0.00001325062,0.00005688528,0.00001013752,0.00005150418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7276515,"threshold_uncertainty_score":0.558711,"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."}}