{"id":"W2521752476","doi":"10.5539/ijel.v6n5p12","title":"Animacy, Frequency and Working Memory Effects in the Acquisition of a Noun-Adjective Agreement Pattern in L2 under Incidental Learning Conditions","year":2016,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Animacy; Adjective; Psychology; Noun; Security token; Cognition; Language acquisition; Cognitive psychology; Linguistics; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007350038,0.000101573,0.0001693988,0.0003662837,0.00003259369,0.00003412169,0.0002234132,0.00006736291,0.00114644],"category_scores_gemma":[0.006647131,0.00007319454,0.00006167552,0.0001071486,0.00007292456,0.00006569974,0.00003688458,0.0003637,0.000005167127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001426289,"about_ca_system_score_gemma":0.00003432125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001180895,"about_ca_topic_score_gemma":0.00006592507,"domain_scores_codex":[0.9985719,0.0003374564,0.0004906686,0.0001267826,0.000334404,0.0001387904],"domain_scores_gemma":[0.9969175,0.001090892,0.0004313646,0.00007795927,0.001447726,0.00003454525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007479074,0.001437243,0.7280848,0.00006746081,0.0009242808,0.003673551,0.1765626,0.0008518571,0.004658947,0.0526051,0.001306531,0.02907974],"study_design_scores_gemma":[0.005658031,0.0005043306,0.9466605,0.001137309,0.00005879624,0.00009776635,0.03924802,0.00004690151,0.000291101,0.004505183,0.001556788,0.0002352847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798319,0.0007874841,0.001237233,0.00007949422,0.003711042,0.0001108899,0.000009383952,0.000007054757,0.01422548],"genre_scores_gemma":[0.9969369,0.00001798384,0.0001028647,0.000792679,0.002097289,0.000005497565,0.000007736715,0.00001048505,0.00002853283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2185757,"threshold_uncertainty_score":0.9997666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01318278267926001,"score_gpt":0.3134522692040371,"score_spread":0.3002694865247771,"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."}}