{"id":"W4399879324","doi":"10.55016/ojs/ajer.v50i2.55055","title":"Determining the Content of Induction Programs to Improve Instructional Performance: A Case in Seoul, Korea","year":2004,"lang":"en","type":"article","venue":"Alberta Journal of Educational Research","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Content (measure theory); Content analysis; Mathematics education; Instructional design; Medical education; Pedagogy; Medicine; Sociology; Mathematics; Social science","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":[0.001521177,0.0002312316,0.0001967624,0.0006402474,0.001146298,0.0005212508,0.0005282276,0.0005384014,0.0007321914],"category_scores_gemma":[0.005093967,0.0002332572,0.0001840325,0.0005765441,0.0005723374,0.0006112561,0.0005881697,0.0008073862,0.0001273475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111982,"about_ca_system_score_gemma":0.001132513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006134349,"about_ca_topic_score_gemma":0.01566782,"domain_scores_codex":[0.9992662,0.0003148052,0.0000762557,0.00005159738,0.0001315264,0.000159592],"domain_scores_gemma":[0.997619,0.001076027,0.0004515509,0.000162183,0.0003543189,0.0003369308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009618785,0.004982267,0.5242875,0.0007148422,0.00004430084,0.1065092,0.09469073,0.001356709,0.03717546,0.001612659,0.001403266,0.2262613],"study_design_scores_gemma":[0.0003296775,0.004437551,0.661431,0.0005315854,0.0001884322,0.08359042,0.1765762,0.008536616,0.04332896,0.001349564,0.0195606,0.0001394101],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987226,0.00006307416,0.0004669836,0.0001693551,0.000002900388,0.00004660988,0.000006364836,0.000006888142,0.0005151485],"genre_scores_gemma":[0.9970086,0.000224099,0.002227845,0.0000872755,0.000002780593,0.00002520101,0.00001358806,0.00001032866,0.000400265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006134349,"threshold_uncertainty_score":0.01219732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1573887233135965,"score_gpt":0.411787437027616,"score_spread":0.2543987137140196,"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."}}