{"id":"W3133199632","doi":"10.5747/ce.2020.v12.n4.e338","title":"ESTUDO COMPARATIVO DA APLICAÇÃO DOS PROGRAMAS PYTHON E ORANGE PARA A ANÁLISE APROFUNDADA DE BANCOS DE DADOS","year":2021,"lang":"en","type":"article","venue":"Colloquium Exactarum","topic":"Academic Research in Diverse Fields","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Niagara College","funders":"","keywords":"Python (programming language); Computer science; Orange (colour); Usability; Programming language; Database; World Wide Web; Information retrieval; Operating system; Chemistry","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":[0.02847939,0.001077527,0.0009508292,0.004897991,0.001132579,0.004887179,0.00167412,0.0007219128,0.002763556],"category_scores_gemma":[0.1354933,0.000896856,0.001200327,0.004718969,0.001131899,0.004535139,0.00348809,0.001454302,0.0008075736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008551401,"about_ca_system_score_gemma":0.002949678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004205612,"about_ca_topic_score_gemma":0.004407777,"domain_scores_codex":[0.9774503,0.01135019,0.002158595,0.003188009,0.005127305,0.0007257682],"domain_scores_gemma":[0.8733661,0.100773,0.004971057,0.009521452,0.01027425,0.001094161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003385677,0.0009646717,0.08961044,0.005269813,0.001121438,0.0006735945,0.02168507,0.005306215,0.02845491,0.00716772,0.009498716,0.8268617],"study_design_scores_gemma":[0.0008136367,0.003793367,0.3822551,0.004822714,0.0024332,0.005321776,0.02770961,0.2161409,0.1416411,0.02193956,0.1921864,0.0009426603],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7114882,0.002143912,0.2350666,0.00141005,0.0001794512,0.001700427,0.002710895,0.03292117,0.01237929],"genre_scores_gemma":[0.5962279,0.0009460523,0.3926052,0.000281581,0.00006075729,0.001031613,0.002287368,0.004062697,0.002496913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02847939,"threshold_uncertainty_score":0.1506152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042196708051938,"score_gpt":0.4112878627361448,"score_spread":0.307068191930951,"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."}}