{"id":"W2122483731","doi":"10.1509/jmkr.45.5.618","title":"Treating Zero Brand Sales Observations in Choice Model Estimation: Consequences and Potential Remedies","year":2008,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Multinomial logistic regression; Econometrics; Zero (linguistics); Multinomial distribution; Panel data; Estimation; Basis (linear algebra); Economics; Statistics; Mathematics","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":[0.1079893,0.001414965,0.001851819,0.001513644,0.002193581,0.003202588,0.003061795,0.00408654,0.001729936],"category_scores_gemma":[0.4212488,0.001462868,0.001758455,0.003004199,0.004074559,0.004511146,0.004303086,0.005260952,0.0004314307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108957,"about_ca_system_score_gemma":0.002297754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006490772,"about_ca_topic_score_gemma":0.005402889,"domain_scores_codex":[0.8981094,0.08460643,0.004102496,0.006049567,0.005891276,0.001240759],"domain_scores_gemma":[0.4864355,0.4435103,0.02302252,0.04085458,0.004979536,0.001197597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002507215,0.001063331,0.2879476,0.001148114,0.002383018,0.002627796,0.005445978,0.2277793,0.00419864,0.1727638,0.005768972,0.2863663],"study_design_scores_gemma":[0.0008109766,0.001781779,0.04714649,0.001078136,0.0008397502,0.001411477,0.002287084,0.6754451,0.01214618,0.2476533,0.00888235,0.0005173198],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1229396,0.0006135018,0.8703664,0.003493335,0.0002671519,0.0002282238,0.0002447221,0.0004402927,0.001406748],"genre_scores_gemma":[0.7990634,0.0003686563,0.1978468,0.0009930192,0.0002499128,0.000255465,0.0003025849,0.0000772815,0.0008428606],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1079893,"threshold_uncertainty_score":0.5711088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1387096669240843,"score_gpt":0.344666209867483,"score_spread":0.2059565429433987,"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."}}