{"id":"W2058279388","doi":"10.2202/1546-5616.1005","title":"The Relationship between Market Share and Information in a High-Tech Industry","year":2004,"lang":"en","type":"article","venue":"Review of Marketing Science","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Market share; High tech; Volatility (finance); Information technology; Business; Marketing; Industrial organization; Information industry; Technological change; Economics; Finance; Economy","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":[0.001198465,0.0001588863,0.0002846428,0.00210214,0.0003761375,0.002048991,0.0003003096,0.0006073427,0.004911084],"category_scores_gemma":[0.01035986,0.00009376977,0.0002291684,0.002552196,0.0006085215,0.002660939,0.0007152559,0.0005396871,0.0005136158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000571436,"about_ca_system_score_gemma":0.0002466934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001063574,"about_ca_topic_score_gemma":0.0009236016,"domain_scores_codex":[0.9993389,0.0001471696,0.00003731316,0.00007776596,0.0003073663,0.00009150162],"domain_scores_gemma":[0.9717871,0.01750942,0.008049296,0.0004777731,0.001222553,0.0009539233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003438059,0.0005849624,0.8947998,0.0002136677,0.0002471569,0.0005125584,0.001707958,0.002893057,0.004382803,0.02551488,0.001380226,0.06741916],"study_design_scores_gemma":[0.00002301637,0.000354542,0.9707645,0.00005204459,0.00008973847,0.0003975323,0.001654117,0.00483485,0.001728321,0.01516527,0.004905001,0.00003107505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98141,0.001551407,0.0009990722,0.000819358,0.00001100787,0.00001477792,0.000146541,0.00001082685,0.01503704],"genre_scores_gemma":[0.9987593,0.00043102,0.00009021272,0.00002496467,0.00004002791,0.000005241639,0.00005906959,0.000001929056,0.0005882948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004911084,"threshold_uncertainty_score":0.01642925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02148981347222085,"score_gpt":0.2390181184672943,"score_spread":0.2175283049950735,"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."}}