{"id":"W4412427150","doi":"10.63330/aurumpub.011-002","title":"O IMPACTO DA INTELIGÊNCIA ARTIFICIAL NA PERSONALIZAÇÃO DA APRENDIZAGEM: DESAFIOS E OPORTUNIDADES NO ENSINO BÁSICO","year":2025,"lang":"pt","type":"book-chapter","venue":"","topic":"Education during COVID-19 pandemic","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001922505,0.001529465,0.001558752,0.001151546,0.001807864,0.001291743,0.001980266,0.001890475,0.04389901],"category_scores_gemma":[0.001739404,0.001614826,0.001021714,0.000649902,0.001616761,0.0006384535,0.0006580126,0.001805061,0.005407752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001759247,"about_ca_system_score_gemma":0.005629242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003099678,"about_ca_topic_score_gemma":0.002380389,"domain_scores_codex":[0.9918309,0.0004567832,0.001865095,0.002142095,0.002042742,0.001662327],"domain_scores_gemma":[0.9936992,0.001461519,0.001125332,0.001427997,0.001187265,0.001098672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002784116,0.0005590927,0.003419028,0.0008451014,0.001181095,0.0001330621,0.04639933,0.00001120587,0.0006157564,0.6806713,0.2283411,0.03754559],"study_design_scores_gemma":[0.0005498628,0.0002576525,0.0003753297,0.002010721,0.0009626798,0.00002352779,0.01849279,0.0003619918,0.0003918804,0.01364774,0.9596993,0.003226504],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006383713,0.001132671,0.002691858,0.01006255,0.008997533,0.002355231,0.0003517405,0.0009823188,0.9670424],"genre_scores_gemma":[0.2217155,0.000794345,0.0005766859,0.006432694,0.002494581,0.00004509705,0.0002425956,0.0001713751,0.7675271],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7313583,"threshold_uncertainty_score":0.9997454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1135835866374713,"score_gpt":0.371775289671921,"score_spread":0.2581917030344497,"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."}}