{"id":"W2996300138","doi":"10.2139/ssrn.3360622","title":"Pricing for Heterogeneous Products: Analytics for Ticket Reselling","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Ticket; Analytics; Business; Computer science; Computer security; Data science","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":[0.001054328,0.0006828318,0.000640166,0.005306134,0.0002827764,0.002256936,0.0007910109,0.0006712452,0.00553211],"category_scores_gemma":[0.009415631,0.0001668165,0.0007503179,0.00420646,0.0001855025,0.002106401,0.0007420976,0.0008560769,0.002012161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005162297,"about_ca_system_score_gemma":0.0003955829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006809551,"about_ca_topic_score_gemma":0.003754816,"domain_scores_codex":[0.9992521,0.0001273685,0.00005765693,0.0001193939,0.0003611715,0.00008222162],"domain_scores_gemma":[0.9953499,0.002567206,0.0005608395,0.0005259276,0.0007347676,0.0002613673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002158635,0.002074759,0.4029165,0.0003848284,0.0002990736,0.0009314397,0.0005440714,0.06174712,0.004371196,0.01317416,0.01935723,0.4920409],"study_design_scores_gemma":[0.00004259699,0.0002784308,0.1819715,0.00004447952,0.0000997207,0.0006210863,0.0006828455,0.7937141,0.002702753,0.01433126,0.005452217,0.00005905906],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542693,0.001224379,0.02198558,0.0005124536,0.0000749223,0.0001740126,0.009162478,0.002165,0.0104318],"genre_scores_gemma":[0.9801725,0.0003821236,0.01053439,0.00003517254,0.00007199345,0.00004569598,0.006224018,0.00008556066,0.002448584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006809551,"threshold_uncertainty_score":0.01850677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02017719713119683,"score_gpt":0.2501087863058071,"score_spread":0.2299315891746102,"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."}}