{"id":"W2790875903","doi":"10.30964/auebfd.405853","title":"Okul Öncesi Aday Öğretmenlerin Öğrenme Stillerinin Matematiksel Algoritmaya Dayalı Olarak Modellenmesi","year":2018,"lang":"tr","type":"article","venue":"Ankara Universitesi Egitim Bilimleri Fakultesi Dergisi","topic":"Learning Styles and Cognitive Differences","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Education and Early Childhood Development","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001292913,0.001605898,0.001292599,0.0008326191,0.001005967,0.004400767,0.001694597,0.001748818,0.01767058],"category_scores_gemma":[0.004583897,0.0006628797,0.00196258,0.001079226,0.0008946813,0.003550439,0.001539445,0.002853876,0.004314559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641048,"about_ca_system_score_gemma":0.002361261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02105082,"about_ca_topic_score_gemma":0.01632585,"domain_scores_codex":[0.9993008,0.00016781,0.00004902342,0.0002094669,0.0001948306,0.0000778553],"domain_scores_gemma":[0.9987034,0.0005867337,0.0001181912,0.0001667032,0.0003645062,0.00006043431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006099414,0.0002929854,0.01893364,0.001479641,0.0005333303,0.0005981489,0.001511125,0.4794842,0.008389595,0.09678035,0.02742787,0.3639591],"study_design_scores_gemma":[0.00006151125,0.0001779395,0.00916151,0.0003397238,0.0002064833,0.0003341339,0.00126406,0.8263986,0.006002272,0.08659234,0.06929988,0.0001613836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08295324,0.006062686,0.8523463,0.00438954,0.0008061801,0.000208522,0.002864433,0.002716939,0.04765227],"genre_scores_gemma":[0.6712046,0.007278918,0.2515562,0.0007704609,0.0004588548,0.0004431501,0.005870222,0.001240293,0.06117726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02105082,"threshold_uncertainty_score":0.05911398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02451706088579204,"score_gpt":0.2907586577469234,"score_spread":0.2662415968611314,"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."}}