{"id":"W2567836211","doi":"10.1108/case.kellogg.2016.000168","title":"Joyoung Soymilk Maker: Segmentation, Targeting, and Positioning","year":2017,"lang":"en","type":"article","venue":"Kellogg School of Management Cases","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marketing; Product (mathematics); China; Quarter (Canadian coin); Business; Market segmentation; Advertising; Political science; Mathematics; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003105098,0.0001129396,0.0001334499,0.0000128281,0.0005669262,0.0001735546,0.0002386389,0.00003828517,0.0005443263],"category_scores_gemma":[0.0001300305,0.00005347863,0.00005048044,0.00004521054,0.0001278102,0.0002716552,0.0001932264,0.00006189635,0.00002309953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001892373,"about_ca_system_score_gemma":0.000002198043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003598231,"about_ca_topic_score_gemma":0.0001986982,"domain_scores_codex":[0.999106,0.00004860156,0.0002130838,0.0002707265,0.0001841505,0.0001773975],"domain_scores_gemma":[0.9994702,0.00009118985,0.000183786,0.0001281657,0.00004896702,0.00007764764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009217153,0.0001610271,0.905884,0.000155101,0.0001070404,0.0001223345,0.00007686832,0.00002023089,0.03393341,0.00122023,0.01001513,0.04821248],"study_design_scores_gemma":[0.0002595306,0.0001972584,0.9909285,0.00004343559,0.00004292378,0.000009217933,0.0008964937,0.00003880778,0.00335921,0.001094524,0.002958051,0.0001720529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935336,0.0003042073,0.000008307379,0.001102151,0.00009949685,0.0002831595,0.00002474168,0.00003870126,0.004605709],"genre_scores_gemma":[0.9977769,0.0001005261,0.001252715,0.0001111457,0.00008056878,0.00001743734,0.00004127631,9.966444e-7,0.0006184943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08504452,"threshold_uncertainty_score":0.5959991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528689643669678,"score_gpt":0.2408948512940545,"score_spread":0.2256079548573577,"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."}}