{"id":"W2118706135","doi":"10.5539/ijel.v1n2p281","title":"Investigating Language-Related Episodes during Mechanical and Meaningful Output Activities","year":2011,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meaning (existential); Grammar; Lexis; Set (abstract data type); Linguistics; Psychology; Outcome (game theory); Focus (optics); Principal (computer security); Computer science; Natural language processing; Mathematics; Physics; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001120657,0.0003104098,0.0003425881,0.0007169645,0.0005441381,0.001309129,0.000417718,0.0005621023,0.001193811],"category_scores_gemma":[0.01027132,0.0001824332,0.0001826548,0.000404442,0.0009291543,0.0009219654,0.001475028,0.0004685234,0.0002149736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003321021,"about_ca_system_score_gemma":0.0002662328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006504799,"about_ca_topic_score_gemma":0.001174236,"domain_scores_codex":[0.9987399,0.0005637084,0.00006925705,0.0001909415,0.0003018462,0.0001343126],"domain_scores_gemma":[0.9946795,0.003305567,0.001155254,0.000213879,0.0003625584,0.0002831746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0007184042,0.000655654,0.2839557,0.0007395298,0.0001055827,0.002614475,0.4470356,0.0007003113,0.138352,0.001389116,0.0004717133,0.1232619],"study_design_scores_gemma":[0.00003765361,0.001254262,0.7131431,0.0001628978,0.00006894323,0.002075281,0.2462782,0.00206,0.02330318,0.002062542,0.009445578,0.0001084036],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979262,0.00005574752,0.001015372,0.00001837629,0.000001743371,0.0000140744,0.00001711415,0.00001088876,0.0009403668],"genre_scores_gemma":[0.9978063,0.00008887103,0.001296441,0.00001737028,0.00000354159,0.00003363162,0.00006045464,0.000009434742,0.000684115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001309129,"threshold_uncertainty_score":0.005926669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03289131806998236,"score_gpt":0.2563398753584666,"score_spread":0.2234485572884843,"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."}}