{"id":"W3012968186","doi":"10.5539/elt.v13n4p76","title":"Learners in a Tight Corner: An Investigation of Figurative Idiomatic Competence and Learner-related Factors","year":2020,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Literal and figurative language; Competence (human resources); Test (biology); Mathematics education; Likert scale; Foreign language; Significant difference; English as a foreign language; Knowledge level; Language proficiency; Pedagogy; Linguistics; Developmental psychology; Social psychology","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":[0.0004523981,0.0001629515,0.0002758299,0.0001481325,0.00007087695,0.00003519522,0.000145703,0.000115225,0.002825105],"category_scores_gemma":[0.000687911,0.0001522225,0.00004036146,0.0002319096,0.00008297664,0.000296753,0.00003299075,0.0006973966,0.00001656352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002233307,"about_ca_system_score_gemma":0.00001686855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004474961,"about_ca_topic_score_gemma":0.00002526183,"domain_scores_codex":[0.9981095,0.0008609412,0.0003485633,0.0003343737,0.0001374734,0.0002091974],"domain_scores_gemma":[0.9992348,0.0002242097,0.0001884062,0.000181835,0.00001902317,0.0001517547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002265325,0.00002655297,0.0199708,0.00003141901,0.00003001241,0.00007359194,0.9640988,0.0001046776,0.0108946,0.001928702,0.00003928527,0.002778927],"study_design_scores_gemma":[0.0011671,0.0002486143,0.04965815,0.00009655946,0.00002231525,0.000009175057,0.9453987,0.002083671,0.0009406326,0.00004401229,0.0000549407,0.0002760674],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925118,0.001067415,0.00006894163,0.000118841,0.0001177232,0.0001622448,0.000005660195,0.0001654762,0.005781868],"genre_scores_gemma":[0.9985179,9.592018e-7,0.0002514753,0.0009091946,0.00007845194,0.000006350991,0.00009083659,0.00002574063,0.0001191468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02968735,"threshold_uncertainty_score":0.9980865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201581973970436,"score_gpt":0.2860891206708403,"score_spread":0.2659309232737967,"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."}}