{"id":"W1499736535","doi":"","title":"Modelagem de dados como ferramenta de análise de padrões de metadados em bibliotecas digitais: o padrão de metadados brasileiro para teses e dissertações segundo o modelo entidade-relacionamento","year":2006,"lang":"pt","type":"article","venue":"Perspectivas em Ciência da Informação","topic":"Information Science and Libraries","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Physics; Philosophy; Political science","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.008575462,0.001089727,0.001092397,0.008609685,0.001496236,0.01274897,0.00209198,0.001387789,0.008601134],"category_scores_gemma":[0.0456918,0.001087379,0.002180685,0.01181538,0.002100712,0.009214875,0.002973326,0.002036926,0.002083834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005538864,"about_ca_system_score_gemma":0.006805771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05231376,"about_ca_topic_score_gemma":0.04543097,"domain_scores_codex":[0.9922333,0.002267314,0.0008956214,0.00178886,0.002530672,0.0002842905],"domain_scores_gemma":[0.9772027,0.010775,0.001749855,0.004386488,0.005446665,0.0004393427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000543808,0.000276514,0.09736426,0.002540172,0.0005972266,0.0004941201,0.02289465,0.1006649,0.006439768,0.3141489,0.01326586,0.4407699],"study_design_scores_gemma":[0.0001256069,0.0002409001,0.04786326,0.002033311,0.0007203159,0.0006262517,0.01128667,0.5100715,0.01176104,0.2320656,0.1828639,0.0003416265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1239025,0.002743467,0.7990684,0.004420015,0.0002272737,0.001065648,0.0109816,0.00620961,0.05138146],"genre_scores_gemma":[0.5684429,0.002107484,0.4040923,0.0002877141,0.00005356087,0.001196035,0.006490224,0.0006856896,0.01664409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.987251,"threshold_uncertainty_score":0.1040186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03974642979813717,"score_gpt":0.2940013597633143,"score_spread":0.2542549299651771,"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."}}