{"id":"W2103957807","doi":"10.5539/elt.v3n3p125","title":"Effectiveness of Structural Method of Teaching Vocabulary","year":2010,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocabulary; Nonprobability sampling; Mathematics education; Psychology; Teaching method; Population; Control (management); Computer science; Linguistics; Artificial intelligence","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":[0.001057541,0.0003372121,0.0003429307,0.000886719,0.0002019742,0.000621814,0.0007005158,0.000270342,0.003740959],"category_scores_gemma":[0.005494033,0.0001308293,0.0003774538,0.0003184085,0.0002111416,0.0006404039,0.0007780189,0.0003646443,0.0005946337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003168393,"about_ca_system_score_gemma":0.0007499761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004950628,"about_ca_topic_score_gemma":0.001072365,"domain_scores_codex":[0.9983468,0.0005805325,0.00009942932,0.0002587033,0.0006013427,0.0001132452],"domain_scores_gemma":[0.9968287,0.001781569,0.0004706366,0.000242265,0.0003105925,0.0003660941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002282355,0.01229486,0.03985915,0.001756472,0.0001287046,0.0004373119,0.005782967,0.0008388567,0.04390329,0.001482947,0.001685495,0.8895476],"study_design_scores_gemma":[0.00328076,0.1316987,0.6065912,0.002310995,0.001338921,0.01075088,0.01505462,0.009064129,0.104869,0.007425904,0.1073698,0.0002449822],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822301,0.001365235,0.00649932,0.0002895572,0.00006262444,0.0002827491,0.00007907808,0.0001725505,0.009018826],"genre_scores_gemma":[0.9686,0.00167431,0.02282039,0.0001267134,0.00007464729,0.0002399375,0.0001867435,0.00003891242,0.006238377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003740959,"threshold_uncertainty_score":0.01251477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005879382737252806,"score_gpt":0.3324531328752666,"score_spread":0.3265737501380138,"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."}}