{"id":"W4376602837","doi":"10.2478/sbe-2023-0018","title":"Identification of the Factors Influencing the Cosmetic Products Market (Ukraine Case)","year":2023,"lang":"en","type":"article","venue":"Studies in Business and Economics","topic":"Consumer Packaging Perceptions and Trends","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ukrainian; Business; Marketing; Identification (biology); Cosmetics; European market; Market share; World market; Commerce","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":[0.0004497142,0.0001606109,0.0001550434,0.001807511,0.0009437105,0.001369101,0.0002341544,0.0003271617,0.003474914],"category_scores_gemma":[0.0008729455,0.00008802204,0.0003015924,0.001567352,0.0004775834,0.0006646918,0.0007500126,0.0003065098,0.000314191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002189111,"about_ca_system_score_gemma":0.001493393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03430308,"about_ca_topic_score_gemma":0.02779759,"domain_scores_codex":[0.9996336,0.00007012028,0.00001912198,0.00004698153,0.0001095423,0.0001207767],"domain_scores_gemma":[0.9993429,0.0002076106,0.0001822197,0.00002524867,0.0001657908,0.0000761441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001615466,0.0005213516,0.910632,0.0001570468,0.00005209915,0.01110014,0.02133278,0.001984631,0.003441751,0.008650017,0.001582547,0.04038414],"study_design_scores_gemma":[0.000005321897,0.0001429243,0.9064538,0.00006963635,0.00004485807,0.001415271,0.07568909,0.004923729,0.002220231,0.0005065387,0.008508071,0.00002055237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953264,0.0000503497,0.00008692077,0.00008285372,0.000001186744,0.00001101281,0.00004856128,0.00000225665,0.004390505],"genre_scores_gemma":[0.9986932,0.00006572752,0.00008824941,0.00001008534,0.000001380798,0.000003869857,0.00005190419,8.366854e-7,0.001084821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03430308,"threshold_uncertainty_score":0.06820679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05004506020676358,"score_gpt":0.2627624152523451,"score_spread":0.2127173550455815,"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."}}