{"id":"W4386368345","doi":"10.3102/ip.23.2003898","title":"The Relationship Between Computational Thinking and Problem-Solving in an Online Programming Activity","year":2023,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computational thinking; Computer science; Theoretical computer science; Human–computer interaction; Artificial intelligence","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":[0.00193656,0.00009241838,0.00009073957,0.0001342216,0.0008513646,0.0006870754,0.0003948436,0.00004744397,2.412135e-7],"category_scores_gemma":[0.0002721164,0.00006920111,0.00002082192,0.0006784617,0.00004611237,0.0005879642,0.0002329905,0.0004542243,0.000004640356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000283274,"about_ca_system_score_gemma":0.00004152848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001229416,"about_ca_topic_score_gemma":0.0002260975,"domain_scores_codex":[0.9987136,0.0002699209,0.0001711201,0.0002964191,0.0002502053,0.0002987373],"domain_scores_gemma":[0.9976084,0.002037267,0.00007308484,0.0001947469,0.00002669561,0.00005975542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[7.678723e-7,0.00001441274,0.4915711,0.000005963764,0.000002321053,0.000001843524,0.00291533,0.001723844,0.000001220887,0.01742127,0.000004423081,0.4863375],"study_design_scores_gemma":[0.0001227212,0.00004128539,0.9052566,0.00003280516,0.000001637103,0.000002729982,0.00026563,0.08275703,6.694864e-7,0.01043448,0.000987336,0.00009714148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7675766,0.00002189336,0.2289069,0.002599478,0.00004144707,0.0001550032,2.976051e-7,0.0006640367,0.00003433268],"genre_scores_gemma":[0.7977209,6.588619e-7,0.2021196,0.0000177547,0.0000378945,0.000008172939,0.00000872176,0.000006897659,0.00007934801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4862404,"threshold_uncertainty_score":0.6625484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09488051328866907,"score_gpt":0.334143293088381,"score_spread":0.2392627797997119,"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."}}