{"id":"W2292043425","doi":"","title":"TÜRKİYE MEB VE ONTARIO (KANADA) EYALETİ FEN VE TEKNOLOJİ DERSİ ÖĞRETİM PROGRAMLARININ KARŞILAŞTIRILARAK DEĞERLENDİRİLMESİ","year":2010,"lang":"tr","type":"article","venue":"Education Sciences","topic":"Educational Leadership and Administration","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Grading (engineering); Christian ministry; Psychology; Class (philosophy); Mathematics education; Pedagogy; Political science; Computer science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.002945217,0.0005869947,0.0004781882,0.0005071266,0.003647754,0.00203062,0.002104565,0.0006134771,0.004539269],"category_scores_gemma":[0.001046899,0.0005959507,0.0002633295,0.002256254,0.003859217,0.001963508,0.0001200006,0.001267005,0.0009207577],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006364468,"about_ca_system_score_gemma":0.03022468,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03901481,"about_ca_topic_score_gemma":0.335298,"domain_scores_codex":[0.993243,0.0003823423,0.0009438644,0.001586372,0.002466473,0.001377964],"domain_scores_gemma":[0.9962816,0.0005812874,0.0008133132,0.000651326,0.0007944849,0.0008779527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005151398,0.003380268,0.3430385,0.0001376573,0.0001445459,0.000007400309,0.2398073,0.00000722117,0.001019556,0.2814434,0.0816109,0.04935174],"study_design_scores_gemma":[0.0003341957,0.0004349583,0.1213175,0.0002358552,0.0001586622,0.00002873179,0.2208634,0.00003451114,0.000864493,0.008881777,0.6456215,0.001224395],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7501552,0.0006854997,0.00002123915,0.06222943,0.0160316,0.001252522,0.00002786385,0.0001606438,0.169436],"genre_scores_gemma":[0.9550833,0.0000721387,0.004715226,0.001394869,0.002651149,0.0001951375,0.0001075851,0.00003362184,0.035747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5640106,"threshold_uncertainty_score":0.9998571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06440246130942036,"score_gpt":0.3704018398863382,"score_spread":0.3059993785769178,"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."}}