{"id":"W3049375116","doi":"10.1177/0022243720941525","title":"Locational Choices: Modeling Consumer Preferences for Proximity to Others in Reserved Seating Venues","year":2020,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Marketing Science Institute","keywords":"Ticket; Space (punctuation); Consumption (sociology); Marketing; Computer science; Event (particle physics); Advertising; Business; Consumer behaviour; Computer security","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":[0.001196666,0.000555839,0.0004601557,0.0005822259,0.0003793793,0.001700569,0.001232072,0.0009812803,0.003719407],"category_scores_gemma":[0.003967805,0.000447185,0.0008973262,0.000878491,0.0006882049,0.00151957,0.0009715529,0.000721482,0.0003016332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056828,"about_ca_system_score_gemma":0.0005779857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01758561,"about_ca_topic_score_gemma":0.01826633,"domain_scores_codex":[0.9993972,0.0003471833,0.00001746459,0.0001241254,0.00004533627,0.00006868106],"domain_scores_gemma":[0.9981439,0.001322444,0.0002036211,0.0001369949,0.00007686812,0.0001161621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005824942,0.0005895494,0.08487917,0.00005908781,0.0001530387,0.0002052509,0.0008929347,0.8706453,0.001377823,0.02293397,0.0005224932,0.01715888],"study_design_scores_gemma":[0.00002245805,0.0001214912,0.00666005,0.000005984015,0.00002214152,0.00002679978,0.0003347044,0.9876034,0.0001235353,0.004780248,0.0002852119,0.00001405603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9059076,0.00007478924,0.0897098,0.0003025113,0.00001155541,0.00006719817,0.0002485686,0.00005757249,0.003620443],"genre_scores_gemma":[0.9843561,0.00004690985,0.01432383,0.00002057463,0.000005091256,0.00005357948,0.0001007177,0.000008114611,0.001085057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01758561,"threshold_uncertainty_score":0.03496647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2741076674381235,"score_gpt":0.3897228273903563,"score_spread":0.1156151599522328,"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."}}