{"id":"W4389996342","doi":"10.5753/wie.2023.234246","title":"Aprendizado de Máquina com TinyML na Educação Básica: Um Relato de Experiência","year":2023,"lang":"pt","type":"article","venue":"","topic":"Education and Digital Technologies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Humanities; Art; Computer science","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":[0.002594289,0.0006518883,0.0003749059,0.0005290714,0.0009739306,0.003156401,0.001711428,0.001382296,0.00909826],"category_scores_gemma":[0.009836912,0.0003307358,0.0005137702,0.0004900346,0.002050803,0.004745941,0.003916168,0.001930905,0.001818601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007825196,"about_ca_system_score_gemma":0.001214123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001939639,"about_ca_topic_score_gemma":0.003077694,"domain_scores_codex":[0.9981214,0.0007580565,0.00009517883,0.000232376,0.0006388868,0.0001541067],"domain_scores_gemma":[0.9941841,0.003669712,0.0001843397,0.0007975966,0.0006753977,0.0004889623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007404604,0.0006165865,0.006809264,0.002136357,0.00006738973,0.002878788,0.0901551,0.007658833,0.1443289,0.1019269,0.02438039,0.618301],"study_design_scores_gemma":[0.0001021162,0.000950387,0.005180183,0.00103561,0.000169826,0.002941759,0.01508201,0.03899497,0.09084636,0.03588372,0.8085759,0.0002371951],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1204375,0.001582269,0.7877226,0.00525452,0.0006970716,0.0004840766,0.0002493655,0.01292932,0.07064319],"genre_scores_gemma":[0.5640213,0.002104131,0.3798519,0.001566933,0.0001480809,0.0004301567,0.0004514242,0.002503677,0.0489224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00909826,"threshold_uncertainty_score":0.03043669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08005225392094116,"score_gpt":0.3827210981305836,"score_spread":0.3026688442096424,"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."}}