{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007157278,0.0002202358,0.0002138353,0.0003822101,0.001884016,0.001040374,0.0003345684,0.0002774095,0.007168624],"category_scores_gemma":[0.001700666,0.0001403219,0.0001684364,0.0007737966,0.0005951889,0.0005018557,0.0007240836,0.0003666595,0.0007937511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007789022,"about_ca_system_score_gemma":0.01932734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.641353,"about_ca_topic_score_gemma":0.9065278,"domain_scores_codex":[0.9994735,0.00005549803,0.00002129337,0.00005254262,0.0002283414,0.0001688494],"domain_scores_gemma":[0.9990035,0.0001228643,0.0001345274,0.00003518999,0.0004985372,0.0002053618],"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":[0.001400796,0.0006781566,0.3493612,0.001012514,0.0000795327,0.00122478,0.03829379,0.001189362,0.01439254,0.009493579,0.02745478,0.555419],"study_design_scores_gemma":[0.00007607562,0.0005900433,0.770928,0.0003542718,0.0001135195,0.0004902852,0.03736324,0.000751487,0.004948803,0.0006773812,0.1836489,0.00005810213],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501408,0.001751647,0.001279073,0.002582175,0.00006420126,0.000134879,0.0004506798,0.00007160788,0.04352497],"genre_scores_gemma":[0.9346609,0.001514455,0.005422368,0.0003773705,0.000009842489,0.0001088193,0.000572086,0.00002657267,0.05730782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.358647,"threshold_uncertainty_score":0.7215184,"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."}}