{"id":"W4206389414","doi":"10.5430/jct.v11n1p87","title":"Interactive Learning in the Preparation of Students 1-4 Grades","year":2022,"lang":"en","type":"article","venue":"Journal of Curriculum and Teaching","topic":"Innovative Educational Technologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics education; Interactive Learning; Teaching method; Computer science; Selection (genetic algorithm); Empirical research; Ukrainian; Psychology; Multimedia; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001558148,0.00003764786,0.00007930808,0.0001797707,0.0001480365,0.00004986458,0.0005271954,0.000008427051,0.000001479416],"category_scores_gemma":[0.0002762721,0.00002515763,0.00002172441,0.0001725792,0.00001688889,0.0003949762,0.0001913933,0.0006006192,8.466721e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000415884,"about_ca_system_score_gemma":0.00002909925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001303385,"about_ca_topic_score_gemma":7.481578e-7,"domain_scores_codex":[0.9990771,0.0002794257,0.000215081,0.00005697893,0.0003174192,0.00005398992],"domain_scores_gemma":[0.9993684,0.0001472039,0.0003606298,0.00005835266,0.00005976571,0.00000565707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001791772,0.0008669824,0.5471947,0.00001501399,0.00005399279,0.00002292468,0.07367449,0.00178937,0.001567388,0.3439648,0.0008349714,0.0299975],"study_design_scores_gemma":[0.001335395,0.002788391,0.729994,0.0002259105,0.00002457981,0.001139431,0.1788146,0.01164888,0.001430341,0.06348088,0.008790444,0.0003271189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912944,0.00009262563,0.007077438,0.001030965,0.0001647625,0.00004252243,1.052866e-7,0.000006200064,0.0002909877],"genre_scores_gemma":[0.9968145,0.000004009924,0.003100523,0.00004201312,0.00002310793,0.00000345532,1.681859e-7,0.00000116335,0.00001105187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2804839,"threshold_uncertainty_score":0.2609425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399445473321304,"score_gpt":0.3451711818286586,"score_spread":0.3311767270954456,"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."}}