{"id":"W2110411447","doi":"10.18806/tesl.v20i1.935","title":"Formulaic Language Acquisition and Production: Implications for Teaching","year":2002,"lang":"en","type":"article","venue":"TESL Canada Journal","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thinkpath Engineering Services (Canada)","funders":"","keywords":"Computer science; Language production; Second-language acquisition; Developmental linguistics; Linguistics; Comprehension approach; Production (economics); Second-language attrition; Language acquisition; Universal Networking Language; Subject (documents); Language assessment; Natural language processing; Psychology; Natural language; Cognition","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003293796,0.0004921652,0.0005512512,0.0008221391,0.002249269,0.006780308,0.001357608,0.002189232,0.008722732],"category_scores_gemma":[0.01395616,0.0002793776,0.0002011982,0.001338779,0.006940058,0.00593227,0.003134302,0.00288675,0.0009980809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008883069,"about_ca_system_score_gemma":0.01287313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02649973,"about_ca_topic_score_gemma":0.03485617,"domain_scores_codex":[0.9986109,0.000747079,0.00004951776,0.0001403516,0.0002816135,0.0001705209],"domain_scores_gemma":[0.9907244,0.006669237,0.0004875878,0.0002293638,0.0006117877,0.001277715],"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":[0.0001207514,0.001139156,0.009575428,0.001060219,0.00001069697,0.0007273485,0.03016317,0.0008869487,0.001300178,0.4276769,0.02891712,0.498422],"study_design_scores_gemma":[0.0001044891,0.0003112258,0.02528947,0.002377588,0.00002720578,0.0008528802,0.06287627,0.00273843,0.003052107,0.6738188,0.2284476,0.0001039459],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.1511698,0.1211148,0.04260147,0.3908657,0.002541969,0.0003769758,0.0002639368,0.0005488495,0.2905166],"genre_scores_gemma":[0.8627864,0.06332836,0.04113109,0.005576994,0.0008158135,0.0006231974,0.0001422669,0.0001239237,0.02547193],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02649973,"threshold_uncertainty_score":0.06445152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01867821539928453,"score_gpt":0.2970407497652864,"score_spread":0.2783625343660018,"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."}}