{"id":"W4386097312","doi":"10.1007/s12525-023-00661-4","title":"Superstar effects in a platform-based local market: The role of customer usage of online-to-offline platforms and spatial agglomeration","year":2023,"lang":"en","type":"article","venue":"Electronic Markets","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Economies of agglomeration; Superstar; Revenue; Competition (biology); Product (mathematics); Business; Consumption (sociology); Service (business); Industrial organization; Advertising; Marketing; Commerce; Economics; Microeconomics","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":[0.001145242,0.0001999961,0.0002980083,0.0005435828,0.00008304232,0.00003902013,0.0002038929,0.00008046097,0.0002261666],"category_scores_gemma":[0.0001541078,0.0001549827,0.00007364836,0.001051335,0.00007437538,0.0002810069,0.0001304783,0.0002356794,0.00001351884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005177734,"about_ca_system_score_gemma":0.00009255832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001478969,"about_ca_topic_score_gemma":0.004539514,"domain_scores_codex":[0.9985403,0.00002504448,0.0003837837,0.0002580369,0.0003085671,0.00048422],"domain_scores_gemma":[0.9991766,0.0003603159,0.0001445597,0.0002359438,0.00006393973,0.00001859664],"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":[0.002324503,0.0002722034,0.26519,0.0008235871,0.0000769311,0.00001929966,0.0002882936,0.0003765347,0.01049478,0.001730257,0.0006830205,0.7177206],"study_design_scores_gemma":[0.002307187,0.00009612355,0.7660361,0.0002444553,0.0001283787,0.000002492638,0.0003725442,0.2122292,0.00198845,0.001519951,0.01467667,0.0003983972],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959794,0.0002467137,0.0003900385,0.0001867127,0.00008885473,0.0005716835,0.000006487372,0.00004900265,0.002481121],"genre_scores_gemma":[0.999461,0.00003455022,0.00001855627,0.0001824565,0.00009235029,0.00003324118,0.00005485246,0.00002667945,0.00009630849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7173222,"threshold_uncertainty_score":0.6320013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007260394648930365,"score_gpt":0.2201403031237151,"score_spread":0.2128799084747848,"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."}}