{"id":"W1925590368","doi":"10.3968/j.css.1923669720050101.019","title":"On Roles and Features of Context in CLT","year":2009,"lang":"en","type":"article","venue":"Canadian social science","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Utterance; Relevance (law); Interpretation (philosophy); Linguistics; Relevance theory; Comprehension; Key (lock); Epistemology; Philosophy; Humanities; Sociology; Psychology; Computer science; History; Political science","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":[0.002697949,0.0004238692,0.0003973879,0.002090387,0.001812784,0.005468743,0.0008266608,0.001092293,0.005909542],"category_scores_gemma":[0.01349214,0.0005007483,0.0004768592,0.001590149,0.006044757,0.01039005,0.002592713,0.001607121,0.0003702551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002127643,"about_ca_system_score_gemma":0.001198416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003333195,"about_ca_topic_score_gemma":0.002626785,"domain_scores_codex":[0.9971065,0.00175171,0.0001564822,0.0003620095,0.0004007294,0.0002226691],"domain_scores_gemma":[0.9910953,0.006948617,0.0006200101,0.0004902927,0.0006289642,0.0002166965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003255434,0.00005892202,0.0124644,0.0005227881,0.00003804564,0.001513211,0.05027197,0.002884387,0.005037941,0.8275633,0.0009563715,0.09836314],"study_design_scores_gemma":[0.00007557029,0.0003055834,0.03555322,0.0007062515,0.0001752177,0.002140543,0.03285021,0.02241154,0.005607976,0.8624575,0.03752651,0.0001899223],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5468982,0.007394995,0.2069437,0.005724817,0.0002310896,0.0002434242,0.000249825,0.0003172574,0.2319967],"genre_scores_gemma":[0.9910875,0.0003890617,0.007151597,0.00006275018,0.00004602593,0.00003985621,0.0000309025,0.00004507759,0.001147251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005909542,"threshold_uncertainty_score":0.01976937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005758671857303814,"score_gpt":0.2389075760066484,"score_spread":0.2331489041493446,"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."}}