{"id":"W3011151727","doi":"10.11606/d.55.2020.tde-16032020-150627","title":"Construção Automática de Funções de Proximidade para Redes de Termos usando Evolução Gramatical","year":2020,"lang":"pt","type":"dissertation","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Network for Business Sustainability","funders":"","keywords":"Humanities; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008548076,0.0008498729,0.0008766592,0.0002992701,0.0004610111,0.002471171,0.002962932,0.0005153903,0.0005972878],"category_scores_gemma":[0.0005018258,0.0008161805,0.0003501854,0.000808941,0.0002577887,0.001011945,0.0006663,0.0008748362,0.0005025842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002716935,"about_ca_system_score_gemma":0.00128527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000171506,"about_ca_topic_score_gemma":0.00003605975,"domain_scores_codex":[0.9946512,0.0003843759,0.001000973,0.001436977,0.0008920336,0.001634424],"domain_scores_gemma":[0.9971347,0.0003690264,0.0004191388,0.001107679,0.0001460404,0.0008233407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004105638,0.001916592,0.0101527,0.005445873,0.00162837,0.002187351,0.02547514,0.0001197744,0.00462905,0.453587,0.0521298,0.4423178],"study_design_scores_gemma":[0.001122217,0.0003796976,0.006533424,0.0006222043,0.0004221977,0.00009723048,0.002542989,0.9707472,0.003493725,0.007528111,0.005190163,0.001320813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01547956,0.0002502901,0.9567806,0.003729452,0.0008433554,0.001541996,0.00007968917,0.0009698535,0.02032525],"genre_scores_gemma":[0.430101,0.0003315708,0.542312,0.002736709,0.0006110557,0.0004225835,0.001446529,0.0001559,0.02188267],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9706274,"threshold_uncertainty_score":0.9994289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03161358069240656,"score_gpt":0.2958018032565863,"score_spread":0.2641882225641798,"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."}}