{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004684523,0.0005368553,0.0004155156,0.00147812,0.001742076,0.008984804,0.0009339405,0.001065284,0.009833727],"category_scores_gemma":[0.01479127,0.0002986641,0.0007706055,0.001531319,0.002656308,0.004439496,0.004051715,0.001406895,0.001918966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003008438,"about_ca_system_score_gemma":0.003854915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004076436,"about_ca_topic_score_gemma":0.005361834,"domain_scores_codex":[0.9944943,0.002215244,0.0003454331,0.0006220848,0.001757494,0.0005653645],"domain_scores_gemma":[0.9841707,0.008108257,0.001916012,0.00157039,0.002719081,0.001515569],"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":[0.0004930288,0.0006208141,0.1119106,0.004829541,0.0002615226,0.0009694011,0.06997373,0.00372359,0.01033338,0.0776751,0.01843928,0.7007701],"study_design_scores_gemma":[0.00008067903,0.001155608,0.1900317,0.00335313,0.0004679381,0.001471435,0.06254227,0.006762072,0.009484711,0.05361595,0.6707992,0.0002352748],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6501945,0.01350279,0.05464538,0.01481064,0.0007678893,0.0004079591,0.000835393,0.001180732,0.2636547],"genre_scores_gemma":[0.9609358,0.005002766,0.0137866,0.0008670437,0.0001546384,0.0001599762,0.000299794,0.0001066621,0.01868674],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009833727,"threshold_uncertainty_score":0.03289706,"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."}}