{"id":"W1970425478","doi":"10.2753/mis0742-1222270305","title":"Oligopolistic Pricing with Online Search","year":2010,"lang":"en","type":"article","venue":"Journal of Management Information Systems","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Oligopoly; Competition (biology); Microeconomics; Order (exchange); Set (abstract data type); Search cost; Economics; Online search; Feature (linguistics); Industrial organization; Econometrics; Computer science; Mathematical economics; Cournot competition; Information retrieval","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":[0.001400518,0.0004310932,0.001032535,0.0005031372,0.0007199037,0.002670394,0.001674844,0.0020936,0.004315786],"category_scores_gemma":[0.006373694,0.0006131916,0.0008643294,0.0007120845,0.002208753,0.004243761,0.001138157,0.001135857,0.0003452392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001720803,"about_ca_system_score_gemma":0.001297628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005591675,"about_ca_topic_score_gemma":0.004428016,"domain_scores_codex":[0.9985319,0.0007835873,0.00003910269,0.0001894194,0.0002575941,0.000198383],"domain_scores_gemma":[0.9961274,0.002590168,0.0004756832,0.0003561758,0.0002179944,0.0002325711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008525795,0.0001204285,0.001424706,0.00005417655,0.00003857229,0.000252876,0.000220386,0.323408,0.0006294893,0.6672251,0.0006949743,0.00584609],"study_design_scores_gemma":[0.00003734078,0.00003398575,0.0003791332,0.000007211761,0.00001134411,0.00007184766,0.00006163434,0.778889,0.00007689516,0.2197315,0.0006844936,0.00001551897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3953604,0.0006600472,0.5453352,0.003031605,0.00008766577,0.0001715136,0.0002435928,0.0001670268,0.05494298],"genre_scores_gemma":[0.9841169,0.000119707,0.01170025,0.00009954351,0.00003328752,0.00005107766,0.00001924914,0.00001203402,0.003847929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005591675,"threshold_uncertainty_score":0.01443779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720747315414332,"score_gpt":0.2430189490623941,"score_spread":0.2258114759082508,"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."}}