{"id":"W4311017904","doi":"10.5753/sbie.2022.225128","title":"Pattern Recognition in Computing Education: A Systematic Review","year":2022,"lang":"en","type":"review","venue":"Anais do XXXIII Simpósio Brasileiro de Informática na Educação (SBIE 2022)","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canadian Bureau for International Education","keywords":"Theme (computing); Computer science; Context (archaeology); Computational thinking; Cognition; Artificial intelligence; Cognitive science; Data science; Psychology; Neuroscience","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00496596,0.001163621,0.003767592,0.001401449,0.0006842464,0.0009558796,0.003657752,0.0004597362,0.0005669328],"category_scores_gemma":[0.002784764,0.001097892,0.001141305,0.003415842,0.00008292036,0.0008553335,0.001267671,0.003376422,0.0004924571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001426693,"about_ca_system_score_gemma":0.003605414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003196972,"about_ca_topic_score_gemma":0.00001589367,"domain_scores_codex":[0.9908494,0.00201144,0.003182951,0.001393048,0.001159068,0.001404046],"domain_scores_gemma":[0.992869,0.001989414,0.00215709,0.002338636,0.0001494932,0.0004963688],"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":[6.619209e-7,0.0001782118,0.00003355006,0.3228593,0.00008611722,0.0000327224,0.0009042697,0.000001465234,5.18809e-9,0.0000841223,0.002079861,0.6737397],"study_design_scores_gemma":[0.0001590786,0.0001156896,0.0000181272,0.3658722,0.000699139,0.00068411,0.0003511355,0.0003637514,5.470598e-8,0.00003600404,0.6306072,0.001093518],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000152856,0.9886984,0.00448633,0.0001551756,0.001789819,0.003482164,0.00002457353,0.0005278927,0.0008203516],"genre_scores_gemma":[0.00009899195,0.9910226,0.003757191,0.002409115,0.0003115809,0.00153201,0.0004696692,0.0001378889,0.0002609943],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6726462,"threshold_uncertainty_score":0.9991471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04752501730562727,"score_gpt":0.3469124498524553,"score_spread":0.2993874325468281,"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."}}