{"id":"W2051983460","doi":"10.1287/isre.1100.0300","title":"Competing in Crowded Markets: Multimarket Contact and the Nature of Competition in the Enterprise Systems Software Industry","year":2010,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Competition (biology); Industrial organization; Rivalry; Externality; Business; Digitization; Network effect; Marketing; Economics; Commerce; Microeconomics; Telecommunications","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006976584,0.000100565,0.0002157663,0.0004566912,0.000136811,0.001802835,0.0003516294,0.0002391304,0.00001341042],"category_scores_gemma":[0.0008105302,0.0000608077,0.0000300891,0.0004140635,0.0001210999,0.005121069,0.0001509201,0.001293003,0.0000344831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000353154,"about_ca_system_score_gemma":0.00002820791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002396359,"about_ca_topic_score_gemma":0.0002961595,"domain_scores_codex":[0.9985895,0.00003915729,0.0006429485,0.00009285658,0.0003881729,0.000247383],"domain_scores_gemma":[0.9985628,0.0006688831,0.0002793917,0.0002286167,0.0002498527,0.0000104693],"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":[0.00163412,0.0001812758,0.3801464,0.005442759,0.00006378015,0.00001307575,0.006126029,0.001547801,0.00007689885,0.5932494,0.00346893,0.008049469],"study_design_scores_gemma":[0.01141584,0.00003431761,0.3070462,0.002455279,0.00001353578,0.00006737654,0.1945549,0.3851284,0.00001086784,0.001862723,0.09680162,0.0006088502],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601332,0.00005912285,0.00001636525,0.0001682125,0.0003462868,0.0009497312,0.00001019198,0.00001488951,0.038302],"genre_scores_gemma":[0.9995399,0.000006824706,0.000006502073,0.0001451444,0.0001455941,0.00008364898,0.00004834531,0.000005966341,0.00001808924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5913867,"threshold_uncertainty_score":0.9992334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850548205680753,"score_gpt":0.2649237119740455,"score_spread":0.2464182299172379,"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."}}