{"id":"W3196022220","doi":"","title":"Growth drivers, characteristics, preference and challenges faced by Fast Moving Consumer Goods - A study with reference to Bengaluru","year":2021,"lang":"en","type":"article","venue":"Turkish Online Journal of Qualitative Inquiry","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fast-moving consumer goods; Revenue; Business; Value proposition; Quarter (Canadian coin); Consumer spending; Marketing; Commerce; Economics; Agricultural economics; Geography; Finance","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":[0.0003392093,0.0002268296,0.0002598347,0.0007502546,0.0009140797,0.001678015,0.0004926212,0.0004297573,0.003752061],"category_scores_gemma":[0.001325553,0.0001783041,0.0004012742,0.001899113,0.0004074133,0.001136708,0.0008730852,0.0008067237,0.0009090088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001177793,"about_ca_system_score_gemma":0.000918006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04461618,"about_ca_topic_score_gemma":0.04753241,"domain_scores_codex":[0.9996817,0.00005165813,0.00002349171,0.00003785876,0.0000665428,0.0001387677],"domain_scores_gemma":[0.9994357,0.000125923,0.0001882134,0.00002352054,0.0001199625,0.0001066033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001313204,0.0001792071,0.9366661,0.0002298422,0.00002864647,0.001498429,0.03011864,0.00006291362,0.0005875124,0.002208144,0.003778113,0.02451126],"study_design_scores_gemma":[0.000002161504,0.00007026954,0.9130054,0.0001328892,0.00002184973,0.0006754316,0.07780275,0.0002310785,0.0001249533,0.0002961626,0.007617976,0.00001921711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933,0.0008385621,0.00004782304,0.0008561697,0.00001502544,0.0000113756,0.0003477893,0.000004480409,0.004578802],"genre_scores_gemma":[0.9969574,0.0009067493,0.00005075843,0.0001313245,0.0000146812,0.00001231829,0.0003117921,0.000006222194,0.001608581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04461618,"threshold_uncertainty_score":0.08871299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.186253763592721,"score_gpt":0.3548471263614852,"score_spread":0.1685933627687642,"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."}}