{"id":"W2779888817","doi":"10.5539/elt.v11n1p164","title":"The Effect of Buzz Group Technique and Clustering Technique in Teaching Writing at the First Class of SMA HKBP I Tarutung","year":2017,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marketing buzz; SMA*; Cluster analysis; Psychology; Class (philosophy); Mathematics education; Test (biology); Group (periodic table); Computer science; Artificial intelligence; Botany","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":[0.001309439,0.0005693728,0.0004819815,0.0008045626,0.0008236058,0.0008470418,0.0005640967,0.0004131613,0.002741598],"category_scores_gemma":[0.004825566,0.0001820447,0.0003750356,0.0004969226,0.0003878385,0.0003716006,0.0005950698,0.0006919189,0.0006591844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004678652,"about_ca_system_score_gemma":0.0007315787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001161695,"about_ca_topic_score_gemma":0.003751101,"domain_scores_codex":[0.9987041,0.0004617282,0.0001015163,0.0002316917,0.0003564306,0.0001445374],"domain_scores_gemma":[0.9959375,0.001705983,0.0006320063,0.0002549268,0.0006428718,0.0008267436],"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":[0.005750295,0.0184493,0.0869187,0.001691859,0.0001822456,0.00106605,0.02724579,0.001186345,0.1326947,0.0004410014,0.003270472,0.7211033],"study_design_scores_gemma":[0.0007298191,0.06079647,0.8218778,0.0004011489,0.0005689905,0.0013255,0.02966277,0.002155958,0.0638861,0.0008290618,0.01761288,0.0001534894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971631,0.0002107727,0.0005417034,0.0001405059,0.00002669543,0.00009788464,0.00002061311,0.00002809094,0.001770534],"genre_scores_gemma":[0.9854197,0.0004341283,0.007574058,0.00006868965,0.00003412368,0.0001686421,0.00008801911,0.000019225,0.006193456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002741598,"threshold_uncertainty_score":0.009171605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003943434125568536,"score_gpt":0.2500705941748017,"score_spread":0.2461271600492332,"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."}}