{"id":"W2281883933","doi":"10.5753/cbie.wcbie.2015.1007","title":"Geração automática de avaliações de objetos de aprendizagem por meio de mineração de textos","year":2015,"lang":"pt","type":"article","venue":"Anais ... Workshops do Congresso Brasileiro de Informática na Educação","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Bureau for International Education","keywords":"Humanities; Computer science; 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":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.00502325,0.001566834,0.001410573,0.001242412,0.001109254,0.001910411,0.005167218,0.002077637,0.0007542542],"category_scores_gemma":[0.003962579,0.001708662,0.0006738841,0.002363321,0.001086248,0.001895756,0.001354762,0.003078019,0.0004906125],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004531766,"about_ca_system_score_gemma":0.01983211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006548477,"about_ca_topic_score_gemma":0.0002141069,"domain_scores_codex":[0.9887885,0.0009506117,0.001957636,0.001696281,0.001382224,0.005224753],"domain_scores_gemma":[0.9896954,0.002251968,0.001064326,0.0027707,0.000884084,0.003333504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003344859,0.003323404,0.4896232,0.0005629121,0.001469435,0.00107833,0.05746324,0.002203887,0.001039515,0.04553753,0.324481,0.07288308],"study_design_scores_gemma":[0.01105522,0.002074711,0.4334102,0.005680321,0.002377841,0.009777555,0.05486305,0.3311862,0.02012723,0.04998354,0.06953387,0.009930267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7734833,0.007092385,0.1838763,0.01905104,0.003963755,0.001759567,0.0001593668,0.001630907,0.008983376],"genre_scores_gemma":[0.90611,0.0006209174,0.07368105,0.007606588,0.001008266,0.0005736231,0.00007923127,0.0001797161,0.01014063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3289823,"threshold_uncertainty_score":0.999708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0463578167409671,"score_gpt":0.3389802957943447,"score_spread":0.2926224790533776,"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."}}