{"id":"W746673350","doi":"","title":"An Empirical Investigation of the Internal Political Economy of Food Vertical Marketing","year":2000,"lang":"en","type":"article","venue":"Journal of business & entrepreneurship","topic":"Business Strategies and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marketing channel; Marketing; Marketing mix; Politics; Economics; Distribution (mathematics); Marketing research; Marketing management; Business; Industrial organization; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001911163,0.0001117772,0.0001612666,0.001137287,0.001529148,0.003527565,0.0003508314,0.0004438977,0.01394004],"category_scores_gemma":[0.007840807,0.0002020747,0.000143171,0.001379629,0.002889625,0.001122766,0.0009040258,0.0008604865,0.0003268147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007374288,"about_ca_system_score_gemma":0.003118309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06769927,"about_ca_topic_score_gemma":0.08417199,"domain_scores_codex":[0.9990352,0.0004221244,0.00002031204,0.00007820724,0.0001926245,0.0002515411],"domain_scores_gemma":[0.9853178,0.008165735,0.003906437,0.0004562236,0.001358817,0.0007950545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003268609,0.000614289,0.6955788,0.0001724191,0.00007807105,0.0005796085,0.02077244,0.002790452,0.002069992,0.2154422,0.004102539,0.05747253],"study_design_scores_gemma":[0.00005997157,0.00008883922,0.8868789,0.0001299681,0.00003939143,0.0001162864,0.05061267,0.01489241,0.0005003237,0.02514708,0.02151114,0.00002291539],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.920949,0.0001166903,0.001299411,0.001324152,0.00001060523,0.00004355236,0.0001010717,0.00001014377,0.07614529],"genre_scores_gemma":[0.999017,0.00002529461,0.0001007261,0.00003125807,0.000005415307,0.000006944736,0.00002138713,0.00000255962,0.0007894772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06769927,"threshold_uncertainty_score":0.1346104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0285591320043591,"score_gpt":0.2429455126607881,"score_spread":0.214386380656429,"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."}}