{"id":"W4285194466","doi":"10.5267/j.uscm.2022.3.007","title":"Dynamics of the behavior of competitiveness factors in the textile sector","year":2022,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competitor analysis; Sample (material); Industrial organization; Business; Marketing; Value (mathematics); Government (linguistics); Likert scale; Economics; Microeconomics; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008086466,0.0001200325,0.0002623072,0.0002570847,0.0001457917,0.00001615299,0.0006620417,0.00002631482,0.001693297],"category_scores_gemma":[0.00001159478,0.00009987974,0.00009715388,0.0008183211,0.00009083029,0.00006996355,0.0002247716,0.0001302159,0.000004214139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002144986,"about_ca_system_score_gemma":0.00001415615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001213993,"about_ca_topic_score_gemma":0.0003723869,"domain_scores_codex":[0.9988651,0.00004800802,0.0005847802,0.000231335,0.00008476591,0.0001859933],"domain_scores_gemma":[0.9990628,0.00006181427,0.0003987841,0.0004416586,0.00002497954,0.00001001216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006972918,0.0001962691,0.7407917,0.00006571394,0.00002367979,0.000001538391,0.0009014211,0.003241044,0.000002306737,0.2543696,0.0001250471,0.0002746953],"study_design_scores_gemma":[0.0005026228,0.00003509367,0.9667608,0.00001349569,0.0000112193,8.602752e-7,0.006458467,0.0026802,0.00002351045,0.006371991,0.01697963,0.0001620897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872767,0.00008039751,0.0004753704,0.0005839144,0.0004424941,0.000890221,0.0004947417,0.000007733763,0.009748416],"genre_scores_gemma":[0.998424,0.00001783612,0.00005891704,0.0002133118,0.00001757511,0.0003395141,0.0001107219,0.00001379766,0.0008043398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2479976,"threshold_uncertainty_score":0.9992193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372092532652403,"score_gpt":0.2104449477310421,"score_spread":0.186724022404518,"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."}}