{"id":"W4409604910","doi":"10.61091/jcmcc127b-336","title":"A Convolutional Neural Network-based Interaction Behavior Analysis and Creativity Evaluation System for Programming Games for 0-6 Years Old Children in Educational Big Data Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Creativity; Computer science; Convolutional neural network; Big data; Artificial neural network; Artificial intelligence; Psychology; Human–computer interaction; Machine learning; Data science; Data mining; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005152397,0.0007709045,0.0003927568,0.0009668662,0.0002925935,0.0004621262,0.0006230673,0.0003934876,0.0008888151],"category_scores_gemma":[0.0009366861,0.000194477,0.0005532889,0.0005688741,0.0001810455,0.0007586429,0.0005504148,0.0003868645,0.0001907119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008901058,"about_ca_system_score_gemma":0.0006938818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01620073,"about_ca_topic_score_gemma":0.0166468,"domain_scores_codex":[0.9996856,0.00004261799,0.00002392276,0.0001009675,0.000098692,0.00004818367],"domain_scores_gemma":[0.9997309,0.00005425902,0.00003147869,0.00001924606,0.0001277834,0.00003636745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008802249,0.000753596,0.08102655,0.0003205719,0.0002787619,0.0005257155,0.0006014467,0.09188828,0.05068247,0.001734338,0.005240969,0.766067],"study_design_scores_gemma":[0.00002663547,0.0002329969,0.03509454,0.00002464105,0.0000961026,0.0001419992,0.0001887685,0.9493663,0.01264519,0.001046076,0.00109492,0.00004179564],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5165288,0.0004435958,0.4726886,0.000271804,0.00008275906,0.0003578644,0.0009987163,0.003771167,0.00485675],"genre_scores_gemma":[0.9077712,0.0001847591,0.08853526,0.00008928888,0.00001480604,0.0002455356,0.0008325096,0.00003651532,0.002290195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01620073,"threshold_uncertainty_score":0.03221285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04271456865106808,"score_gpt":0.3346674810361873,"score_spread":0.2919529123851192,"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."}}