{"id":"W2541355544","doi":"10.31501/rgcti.v2i2.10383","title":"Caracterização de competitividade de pregões eletrônicos por meio de mineração de dados","year":2021,"lang":"pt","type":"article","venue":"Revista Gestão do Conhecimento e Tecnologia da Informação","topic":"Academic Research in Diverse Fields","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; Political science; Physics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002733356,0.0005466721,0.0004337491,0.003236326,0.0008128002,0.003754859,0.0005555532,0.0005250436,0.003229122],"category_scores_gemma":[0.008427306,0.0003247608,0.0007446138,0.004935994,0.0007998187,0.001866768,0.001210602,0.0006229052,0.0006440139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613892,"about_ca_system_score_gemma":0.001756544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02656986,"about_ca_topic_score_gemma":0.04543595,"domain_scores_codex":[0.9983149,0.0003611426,0.0001180174,0.0003145766,0.0007105771,0.0001807987],"domain_scores_gemma":[0.9922397,0.003133626,0.0009497258,0.000967945,0.002326882,0.0003821067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000494229,0.0001813123,0.7799351,0.0006743832,0.0001718778,0.0004353311,0.01257087,0.003386002,0.0209029,0.005241324,0.001840416,0.1741662],"study_design_scores_gemma":[0.00001987221,0.0004608353,0.9120396,0.0003260742,0.0002491427,0.0007593859,0.03018756,0.01206533,0.01881793,0.004077383,0.02090447,0.00009239464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776749,0.001059262,0.008930971,0.0004617675,0.00002439129,0.00007347572,0.001056188,0.0002359687,0.01048316],"genre_scores_gemma":[0.987832,0.0005067248,0.00848772,0.00002687438,0.000006306812,0.00003123458,0.0005770017,0.00002497758,0.002507038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02656986,"threshold_uncertainty_score":0.0528304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06039868766156237,"score_gpt":0.364761874361931,"score_spread":0.3043631867003686,"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."}}