{"id":"W3084169495","doi":"10.70725/658104aqruzh","title":"Teacher Candidates’ Key Understandings about Computational Thinking in Mathematics and Science Education","year":2019,"lang":"en","type":"article","venue":"Journal of Computers in Mathematics and Science Teaching","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Key (lock); Mathematics education; Science education; Computational thinking; Pedagogy; Computer science; 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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01048766,0.0001802629,0.0003560049,0.001258572,0.0005174602,0.001377452,0.001224914,0.00004820062,0.0000013435],"category_scores_gemma":[0.0004322623,0.000152403,0.00003908824,0.0008393868,0.0004315809,0.001823326,0.00040938,0.0008283312,0.000001513478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003026728,"about_ca_system_score_gemma":0.0007702606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000336893,"about_ca_topic_score_gemma":0.000005137976,"domain_scores_codex":[0.9974486,0.00006626007,0.0006858231,0.0003663002,0.001018135,0.000414866],"domain_scores_gemma":[0.998429,0.0004535946,0.0005814887,0.0002486796,0.00012124,0.0001659997],"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":[0.000005626895,0.0005181502,0.0283875,0.0002580104,0.00001153351,0.00001618962,0.1682134,0.00779554,0.0008627471,0.7082878,0.00003017941,0.08561327],"study_design_scores_gemma":[0.0005903352,0.0001521092,0.0108702,0.00174712,0.000006892135,0.0004771486,0.005945018,0.8663653,0.00001564929,0.1133931,0.0001418855,0.0002953289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.65846,0.0001317404,0.339746,0.0004813294,0.000330339,0.0001195766,7.981521e-8,0.00002072945,0.000710247],"genre_scores_gemma":[0.5477834,0.000006914847,0.4521077,0.00005845746,0.00002089318,4.891722e-7,8.379334e-8,0.000005348384,0.00001671582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8585697,"threshold_uncertainty_score":0.9996592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01591825120413914,"score_gpt":0.2909963646884925,"score_spread":0.2750781134843534,"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."}}