{"id":"W2975528024","doi":"10.5753/sbsi.2019.7427","title":"Proposta de adequação da arquitetura do AVA Openredu para suporte a técnicas de análise quantitativa de dados educacionais","year":2019,"lang":"pt","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02283532,0.001391741,0.001513091,0.00592793,0.001607646,0.008653307,0.002844582,0.001707025,0.007467373],"category_scores_gemma":[0.09104773,0.001183998,0.001741884,0.004127022,0.001647128,0.007795622,0.004304302,0.002406536,0.002103909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001830064,"about_ca_system_score_gemma":0.002623164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00600579,"about_ca_topic_score_gemma":0.006956347,"domain_scores_codex":[0.9815047,0.007229625,0.001659516,0.00295918,0.006104847,0.0005421125],"domain_scores_gemma":[0.9214032,0.04308721,0.003926303,0.0113748,0.01913914,0.001069242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001159035,0.0005822033,0.05657561,0.003327695,0.0005368901,0.0004515178,0.01608136,0.028916,0.05464496,0.04826923,0.007107238,0.7823483],"study_design_scores_gemma":[0.0002272338,0.001712679,0.05798053,0.0026262,0.0006706782,0.001769637,0.01768912,0.5236148,0.1365306,0.1145356,0.1418338,0.0008090771],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05589228,0.001066564,0.9259562,0.001041517,0.0001877732,0.0005362995,0.001354367,0.006295675,0.007669165],"genre_scores_gemma":[0.3141239,0.0005591742,0.6791736,0.0002042446,0.00006470591,0.0006390765,0.001026871,0.000681719,0.003526657],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02283532,"threshold_uncertainty_score":0.1207661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03685972300528138,"score_gpt":0.3432024162597315,"score_spread":0.3063426932544501,"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."}}