{"id":"W2803006329","doi":"10.4204/eptcs.270.2","title":"Using Elm to Introduce Algebraic Thinking to K-8 Students","year":2018,"lang":"en","type":"article","venue":"Electronic Proceedings in Theoretical Computer Science","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Curriculum; Computer graphics; Syntax; Graphics; Domain (mathematical analysis); Focus (optics); Recursion (computer science); Inclusion (mineral)","routes":{"ca_aff":true,"ca_fund":true,"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","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.005942356,0.0002951869,0.0002886472,0.0007707495,0.0008561134,0.001791038,0.006204195,0.00007317774,0.000009002537],"category_scores_gemma":[0.0005690402,0.0002756389,0.00005189407,0.004480008,0.0007316066,0.000889552,0.003098374,0.0007377336,0.0001099025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006393164,"about_ca_system_score_gemma":0.0002820692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001584234,"about_ca_topic_score_gemma":0.000003299365,"domain_scores_codex":[0.9946634,0.00005797243,0.0003945379,0.001540616,0.001423896,0.001919597],"domain_scores_gemma":[0.9985437,0.00007938314,0.00008728985,0.0005076287,0.0003265179,0.0004554782],"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":[0.00001392906,0.00006933663,0.001159212,0.000005202338,0.000004427583,0.000002908008,0.007811329,0.00011744,0.001479537,0.9307945,0.00004425754,0.05849791],"study_design_scores_gemma":[0.001419212,0.007026182,0.01091168,0.0008697929,0.00002492063,0.0004088432,0.0002371371,0.6368842,0.02622964,0.2959563,0.01722202,0.002810186],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3838692,0.00001408779,0.6136193,0.001256411,0.0004083082,0.0002557957,5.301633e-8,0.0002735404,0.0003033531],"genre_scores_gemma":[0.6721051,4.728496e-7,0.3261056,0.001398695,0.00035602,0.00001131623,5.918116e-8,0.00001415614,0.000008508488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6367667,"threshold_uncertainty_score":0.9999696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075330660325884,"score_gpt":0.3088138043659593,"score_spread":0.2980604977627005,"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."}}