{"id":"W4387880808","doi":"10.1007/s10763-023-10428-0","title":"Correction to: Exploring Computational Thinking in the Context of Mathematics Learning in Secondary Schools: Dispositions, Engagement and Learning Performance","year":2023,"lang":"en","type":"article","venue":"International Journal of Science and Mathematics Education","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Mathematics education; Context (archaeology); Science education; Computational thinking; Learning sciences; Pedagogy; Science learning; Psychology; Computer science; Experiential learning; Geography","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":[0.005816566,0.00006573222,0.0001041682,0.000784195,0.0002644841,0.0002773955,0.0004814864,0.0000138492,8.737702e-7],"category_scores_gemma":[0.001341606,0.00005333765,0.00001773331,0.0006653731,0.00007239881,0.000954407,0.0001233958,0.000575355,0.000001820572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009418559,"about_ca_system_score_gemma":0.0003190051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002387167,"about_ca_topic_score_gemma":0.000004570779,"domain_scores_codex":[0.9986021,0.00009325541,0.0003916101,0.0001186408,0.0006775558,0.000116855],"domain_scores_gemma":[0.9987605,0.0005163492,0.0002981113,0.00006270571,0.000325224,0.00003708208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004539171,0.0002356065,0.01810303,0.00008770796,0.00001209007,0.000004053599,0.2724009,0.01958407,0.0005696711,0.02258023,0.00008982084,0.6663283],"study_design_scores_gemma":[0.0006435532,0.0003733587,0.2583072,0.003330745,0.00001394935,0.0004299684,0.3186107,0.4067139,0.0003873789,0.008944036,0.001971886,0.0002733443],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678653,0.00004434579,0.02946651,0.001721684,0.0006962263,0.00009189724,1.078791e-7,0.00001641647,0.00009753781],"genre_scores_gemma":[0.9457523,0.00006867511,0.05402314,0.00007635871,0.00003767916,0.00001064512,9.482044e-7,0.000003431769,0.00002685586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.666055,"threshold_uncertainty_score":0.2674931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03857716824903464,"score_gpt":0.3149102291897778,"score_spread":0.2763330609407432,"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."}}