{"id":"W2860429382","doi":"10.5539/elt.v11n8p40","title":"A Longitudinal Study on the L2 Word Depth Knowledge (Meaning and Collocation) Development in China from Dynamic Systems Theory Perspective","year":2018,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Collocation (remote sensing); Context (archaeology); Meaning (existential); Psychology; Vocabulary; Vocabulary development; Linguistics; Perspective (graphical); Language acquisition; Word (group theory); Mathematics education; Cognitive psychology; Teaching method; 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":[0.001987666,0.000221905,0.0002312748,0.0002141232,0.0004410039,0.0001464667,0.0002390416,0.00007955757,0.002028104],"category_scores_gemma":[0.0008441706,0.0001699505,0.00003196119,0.0001979339,0.00007399311,0.0001072243,0.0000863172,0.0007891341,0.0001205016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002492962,"about_ca_system_score_gemma":0.00003694556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001138599,"about_ca_topic_score_gemma":0.001839631,"domain_scores_codex":[0.9971543,0.001582102,0.0002801915,0.0005132864,0.0001631624,0.0003069462],"domain_scores_gemma":[0.9986048,0.0007741048,0.0001179818,0.0003902844,0.00004991882,0.00006291548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008412047,0.0002798629,0.008861574,0.000003767199,0.000127419,0.00008673465,0.9622726,0.000005440637,0.00004874469,0.018763,0.00005058248,0.009416106],"study_design_scores_gemma":[0.0007798047,0.0001064462,0.2342132,0.0001020588,0.00001949011,0.000007709364,0.7641305,0.0001372377,0.00001060925,0.00006106753,0.0002432845,0.0001885368],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9230319,0.003282546,0.0005983774,0.00002840604,0.0006503564,0.0004983064,0.000003980412,0.0001484585,0.07175771],"genre_scores_gemma":[0.9978113,4.03467e-7,0.0001323522,0.0002276013,0.0005515467,0.0001014669,0.00001427827,0.0000385776,0.001122472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2253516,"threshold_uncertainty_score":0.9988842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766947921390087,"score_gpt":0.3250543300815789,"score_spread":0.307384850867678,"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."}}