{"id":"W2206114731","doi":"10.5753/cbie.wcbie.2015.578","title":"Recuperação de Recursos Audiovisuais em Portais Educacionais por meio da Adição de Metadados Semânticos","year":2015,"lang":"pt","type":"article","venue":"Anais ... Workshops do Congresso Brasileiro de Informática na Educação","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Bureau for International Education","keywords":"Computer science; Humanities; Physics; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.006191425,0.001490218,0.001929846,0.001398544,0.001751526,0.00161711,0.004825191,0.002667724,0.004824528],"category_scores_gemma":[0.01176175,0.001614492,0.0009318954,0.003681593,0.002047132,0.001834831,0.001092238,0.003326336,0.001637604],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002601444,"about_ca_system_score_gemma":0.01046978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004046069,"about_ca_topic_score_gemma":0.00400512,"domain_scores_codex":[0.9883508,0.001770474,0.002454231,0.001473863,0.001920028,0.004030604],"domain_scores_gemma":[0.9873575,0.002357565,0.001517922,0.003434424,0.001606252,0.003726319],"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":[0.0005583542,0.001984323,0.1497726,0.000248561,0.001794148,0.000274034,0.1893614,0.00008029436,0.00009621167,0.02545981,0.2661338,0.3642366],"study_design_scores_gemma":[0.007976762,0.001100819,0.04420466,0.002300481,0.002383184,0.0008668952,0.3781401,0.01010117,0.001550826,0.009189555,0.5355464,0.006639156],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8426462,0.02056137,0.004232749,0.05694645,0.00917474,0.005357631,0.0003987147,0.002524761,0.05815732],"genre_scores_gemma":[0.9665398,0.00381813,0.006958693,0.005510234,0.000937948,0.0005945613,0.0002069834,0.0002368358,0.01519679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3575974,"threshold_uncertainty_score":0.9997847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08427443683624172,"score_gpt":0.3757463358310068,"score_spread":0.2914718989947651,"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."}}