{"id":"W2975848578","doi":"10.17648/sinergia-2236-7608-v23n2-8654","title":"REVALUATION OF MINIMUM WAGES IN MEXICO AND ITS FINANCIAL IMPACT ON ORGANIZATIONS AND PRIMARILY ON SMEs","year":2019,"lang":"en","type":"article","venue":"SINERGIA - Revista do Instituto de Ciências Econômicas Administrativas e Contábeis","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business","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":[0.001177056,0.00008595203,0.0001705056,0.0005975258,0.001023205,0.001818738,0.0003191436,0.0006017101,0.002433052],"category_scores_gemma":[0.003260783,0.00004960627,0.0001026026,0.000982627,0.0009087157,0.0007606825,0.001052272,0.0006308952,0.00007945245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00247332,"about_ca_system_score_gemma":0.001307264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01191331,"about_ca_topic_score_gemma":0.01239316,"domain_scores_codex":[0.9995613,0.0001087169,0.00002115593,0.00004217403,0.00009505941,0.0001715278],"domain_scores_gemma":[0.9983972,0.0003434775,0.0008442819,0.00006467058,0.0002197568,0.0001306324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001539574,0.0003931458,0.4921281,0.001311544,0.0001007805,0.00858985,0.06749085,0.002200005,0.00740711,0.1749503,0.01885555,0.2250332],"study_design_scores_gemma":[0.00001991067,0.0002638147,0.8877044,0.0004065158,0.00002674808,0.0005177175,0.03774704,0.0004434971,0.0009194295,0.003545525,0.06838387,0.00002158766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787176,0.0009551409,0.0001821773,0.003946361,0.00004222704,0.000009519172,0.0001267945,0.00000993484,0.01601026],"genre_scores_gemma":[0.9981445,0.0003566841,0.00006232964,0.0001028753,0.00003223609,0.000005807753,0.00004417865,0.00000205787,0.001249406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01191331,"threshold_uncertainty_score":0.0236879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02149366365666627,"score_gpt":0.2561103658860842,"score_spread":0.2346167022294179,"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."}}