{"id":"W7033075103","doi":"","title":"The Past, Present, and Future Direction of Computer Science Curriculum in K-12 Education","year":2022,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Historical Studies in Central America","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Thematic analysis; Transformative learning; Curriculum mapping; Curriculum theory; Field (mathematics); Subject (documents); State (computer science)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002753433,0.000112743,0.0001366281,0.0002097025,0.001429071,0.0001274771,0.0004504829,0.00001842101,0.00003742926],"category_scores_gemma":[0.000005172438,0.00009753682,0.00004012275,0.000293896,0.0006268916,0.0005855078,0.0005230357,0.000302419,0.000004371447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004045168,"about_ca_system_score_gemma":0.00007578498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006148775,"about_ca_topic_score_gemma":0.001007183,"domain_scores_codex":[0.9988222,0.0001584745,0.0001513362,0.0002793028,0.0003391521,0.0002495041],"domain_scores_gemma":[0.9994355,0.00005835468,0.0001366145,0.0001941566,0.0001042211,0.00007116728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003724845,0.0002616666,0.9586126,0.00002362712,0.00001760664,0.000008396557,0.008987756,0.00001655326,0.0000231817,0.002821445,0.00005465259,0.02913527],"study_design_scores_gemma":[0.0001792769,0.0001049585,0.3342742,0.00001276742,0.00001395197,0.000004213024,0.003693516,0.000001511759,0.000008761821,0.00006494648,0.6615242,0.0001176678],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939566,0.0003852183,0.00001475526,0.00109522,0.00187005,0.0001993664,0.00001021351,0.00002796005,0.002440676],"genre_scores_gemma":[0.9948154,0.0001308878,0.0000120325,0.00009447822,0.0009094818,0.00000365882,0.000003560902,0.000009320513,0.004021184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6614696,"threshold_uncertainty_score":0.999871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04475614247004466,"score_gpt":0.2718293723952409,"score_spread":0.2270732299251962,"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."}}