{"id":"W4322768744","doi":"10.1177/20965311231158393","title":"Defining Computational Thinking as an Evident Tool in Problem-Solving: Comparative Research on Chinese and Canadian Mathematics Textbooks","year":2023,"lang":"en","type":"article","venue":"ECNU Review of Education","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Originality; Leverage (statistics); Mathematics education; Thinking processes; Cognition; Process (computing); Computer science; Generalization; Perspective (graphical); Psychology; Mathematics; Artificial intelligence; Creativity; Statistical thinking","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003523842,0.000369426,0.000510326,0.005410091,0.004797373,0.004045696,0.00102477,0.0005015692,0.003121906],"category_scores_gemma":[0.02027498,0.0002326837,0.000225782,0.0120228,0.00546102,0.001969774,0.002006473,0.000786004,0.0001244505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02336747,"about_ca_system_score_gemma":0.03649986,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7043887,"about_ca_topic_score_gemma":0.8470719,"domain_scores_codex":[0.9973058,0.0005987618,0.0001965333,0.0003273583,0.001163111,0.0004085456],"domain_scores_gemma":[0.9875333,0.005803598,0.002055235,0.0004048345,0.003155894,0.001047043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001012455,0.0001378808,0.295867,0.0009003019,0.000043839,0.0007160043,0.5855274,0.00039803,0.001395695,0.0207771,0.001316847,0.09281876],"study_design_scores_gemma":[0.00001272254,0.00009311707,0.6126531,0.0005168089,0.000060587,0.0002749813,0.3672863,0.0004670556,0.0007496327,0.001299383,0.0165301,0.00005607691],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894724,0.0008623884,0.0002943296,0.0001736555,0.000007931748,0.00003435836,0.00004108426,0.000005756855,0.00910795],"genre_scores_gemma":[0.9978709,0.0006121832,0.0003342195,0.00003887857,0.000001694386,0.00001646623,0.00005265836,0.000003475631,0.001069542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2956113,"threshold_uncertainty_score":0.5947043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09247546713207876,"score_gpt":0.444439845195067,"score_spread":0.3519643780629882,"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."}}