{"id":"W2140320152","doi":"10.5539/ass.v10n11p252","title":"Word Recognition through Malay Animal Fables","year":2014,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Putra Malaysia","keywords":"Adjective; Malay; Noun; Lyrics; Verb; Linguistics; Psychology; Literature; Art","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":[0.0003962253,0.0003410766,0.0002346243,0.0006945292,0.0004191983,0.0009970474,0.0002598102,0.0003602975,0.003582307],"category_scores_gemma":[0.0022935,0.0001479195,0.0001210828,0.0002521165,0.0005677579,0.0009050002,0.000561699,0.0003284449,0.0008713648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002694489,"about_ca_system_score_gemma":0.0002410362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002660036,"about_ca_topic_score_gemma":0.004706482,"domain_scores_codex":[0.9996703,0.0001121139,0.00002351314,0.00006923865,0.00006745721,0.00005740595],"domain_scores_gemma":[0.9991968,0.0003444805,0.0002026331,0.00004905231,0.0001402371,0.00006680823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004607618,0.0003562937,0.2830779,0.0005257736,0.00002610543,0.005170339,0.2808114,0.0001620111,0.1538929,0.00109082,0.001564154,0.2728616],"study_design_scores_gemma":[0.00001994274,0.001385597,0.6888419,0.0002187586,0.00004587406,0.01243288,0.2223862,0.001626872,0.04904885,0.001743157,0.02216557,0.00008454156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979419,0.0001367386,0.0002868121,0.00004455412,0.000002481458,0.000008632977,0.00002023466,0.00001198016,0.001546644],"genre_scores_gemma":[0.9967265,0.0001205734,0.0008582895,0.00002720443,0.000001723426,0.000005994982,0.00003251537,0.000004522066,0.002222579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003582307,"threshold_uncertainty_score":0.01198399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02755389517184616,"score_gpt":0.3353169844984584,"score_spread":0.3077630893266123,"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."}}