{"id":"W4406220024","doi":"10.1111/lang.12702","title":"Meaning‐Inferencing Versus Meaning‐Given Procedures: The Case of Idioms","year":2025,"lang":"en","type":"article","venue":"Language Learning","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Meaning (existential); Psychology; Linguistics; Philosophy; Psychotherapist","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01229036,0.0003771366,0.0002937829,0.0005944949,0.0006140712,0.001386253,0.0008624324,0.000786665,0.002788119],"category_scores_gemma":[0.099016,0.0002515779,0.0002224543,0.0004039549,0.002930631,0.003326245,0.001589163,0.001744122,0.0002496211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004349874,"about_ca_system_score_gemma":0.0007374292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003637239,"about_ca_topic_score_gemma":0.0006100967,"domain_scores_codex":[0.9861417,0.01164791,0.000415372,0.0004010885,0.001067362,0.000326519],"domain_scores_gemma":[0.854138,0.1345214,0.004176239,0.004726783,0.001838672,0.0005989351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003715953,0.002942664,0.04917734,0.001903533,0.0001163073,0.005042481,0.1599542,0.007253366,0.0825887,0.09382429,0.0009380641,0.5925431],"study_design_scores_gemma":[0.00071934,0.007672329,0.1659707,0.001423827,0.0003918566,0.01218983,0.1049214,0.09159797,0.2875503,0.284158,0.04277574,0.0006287115],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719322,0.0001353251,0.02302909,0.0002750753,0.00001085063,0.0001051323,0.00001412648,0.00004332818,0.004454838],"genre_scores_gemma":[0.9854237,0.00009627762,0.01411916,0.00003992281,0.000007836245,0.00004070878,0.00001034359,0.00001140976,0.0002505505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01229036,"threshold_uncertainty_score":0.06499839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054435644125434,"score_gpt":0.2894165473152566,"score_spread":0.2788721908740023,"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."}}