{"id":"W275027600","doi":"","title":"Model Program: Technological Education in Ontario Schools.","year":2008,"lang":"en","type":"article","venue":"˜The œtechnology teacher/˜The œTechnology teacher","topic":"Educational Practices and Policies","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Government (linguistics); Primary education; Rural area; Entitlement (fair division); Bilingual education; Political science; Sociology; Mathematics education; Pedagogy; Psychology","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","research_integrity"],"consensus_categories":["sts","research_integrity"],"category_scores_codex":[0.002404467,0.0005904526,0.0006087383,0.001306367,0.00237041,0.000112338,0.003544212,0.00298867,0.0004024521],"category_scores_gemma":[0.0008599939,0.0004301132,0.0002053957,0.0032421,0.007298765,0.0004578077,0.0005992383,0.007372237,0.0004786815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001440714,"about_ca_system_score_gemma":0.004513551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03682852,"about_ca_topic_score_gemma":0.3708716,"domain_scores_codex":[0.9954014,0.0005624894,0.0008497796,0.001003337,0.0006507533,0.001532273],"domain_scores_gemma":[0.9969532,0.0002266589,0.000538212,0.001854974,0.0002853591,0.0001415723],"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":[0.00007388272,0.003904688,0.4223427,0.00001153543,0.0001972043,0.00003016238,0.01858121,0.0001045575,0.0003471982,0.3830927,0.02710719,0.1442069],"study_design_scores_gemma":[0.0006693065,0.0002138438,0.01490197,0.0000548014,0.0001104239,0.0002627927,0.06896661,0.0006716796,0.00008925437,0.2000746,0.7131155,0.0008691773],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7721004,0.001767676,0.0002132676,0.1935688,0.0003760115,0.001606198,0.000002354205,0.002201072,0.02816422],"genre_scores_gemma":[0.9416667,0.000465834,0.003808701,0.0009384097,0.0002001741,0.001736954,0.00001267497,0.00006679483,0.05110375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6860083,"threshold_uncertainty_score":0.999815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05353744706541112,"score_gpt":0.3537206732498499,"score_spread":0.3001832261844388,"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."}}