{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001021471,0.000492428,0.0004428599,0.001312498,0.0004857396,0.001566326,0.0007873947,0.0004189622,0.003140244],"category_scores_gemma":[0.0042551,0.0001196967,0.0004317037,0.000501489,0.0002532655,0.0005982695,0.001336427,0.000407138,0.0006746787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006032832,"about_ca_system_score_gemma":0.001142563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005624139,"about_ca_topic_score_gemma":0.001384009,"domain_scores_codex":[0.9989298,0.000474378,0.00005895635,0.0001320233,0.0002447845,0.0001599955],"domain_scores_gemma":[0.9970696,0.001133972,0.0006849991,0.0001792189,0.0003200478,0.0006120694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007866802,0.00445591,0.1237925,0.001279481,0.00006997009,0.0007325768,0.009793546,0.001395665,0.01380134,0.002442261,0.002149105,0.839301],"study_design_scores_gemma":[0.0003031029,0.01069929,0.821833,0.001938068,0.0004784157,0.002031943,0.0190585,0.004710742,0.04505409,0.008324431,0.08537931,0.0001891217],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713427,0.001431523,0.008228526,0.0002329507,0.000051666,0.0003503068,0.00009106819,0.0002337751,0.01803741],"genre_scores_gemma":[0.9753923,0.0006091279,0.01821566,0.00004193965,0.00001919807,0.0002102822,0.0001013306,0.00002041984,0.005389729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003140244,"threshold_uncertainty_score":0.01050514,"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."}}