{"id":"W2810828997","doi":"10.48550/arxiv.1805.05125","title":"Using Elm to Introduce Algebraic Thinking to K-8 Students","year":2018,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Curriculum; Syntax; Sophistication; Mathematics education; Graphics; Programming language; Inclusion (mineral); Artificial intelligence; Pedagogy; Mathematics; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.000561306,0.000148507,0.0001385071,0.000268194,0.000499128,0.0002753297,0.001828465,0.0000513919,0.00001301123],"category_scores_gemma":[0.00009844107,0.0001692185,0.00005496931,0.001222817,0.00003787055,0.0003893901,0.001018704,0.0002051606,0.0004512771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001425859,"about_ca_system_score_gemma":0.00004162473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001770036,"about_ca_topic_score_gemma":0.00003138897,"domain_scores_codex":[0.9984714,0.0001308956,0.0001085422,0.000717786,0.000151133,0.0004202659],"domain_scores_gemma":[0.9988793,0.000042107,0.00005811474,0.0006731803,0.00009977716,0.0002475545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001495988,0.0005779209,0.165246,0.0000390192,0.0002635897,0.0005888069,0.04740133,0.1447295,0.00319257,0.5239112,0.002608795,0.1112917],"study_design_scores_gemma":[0.004104168,0.003806831,0.1027686,0.0008274627,0.0002598614,0.0001288202,0.003316346,0.4726865,0.004609164,0.016395,0.3859901,0.005107235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4989477,0.000002775665,0.5002054,0.0001321135,0.0002724472,0.00007929453,1.341672e-7,0.0002020772,0.000158029],"genre_scores_gemma":[0.9354019,4.835918e-7,0.06296545,0.0006444776,0.0001989007,1.987106e-7,2.996926e-7,0.00001219945,0.0007761504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5075162,"threshold_uncertainty_score":0.690053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08984843545880605,"score_gpt":0.2408367146040448,"score_spread":0.1509882791452387,"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."}}