{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000175646,0.00003796224,0.00006529635,0.0001071168,0.0001628322,0.00004322315,0.0002655441,0.00001928894,0.00000337593],"category_scores_gemma":[0.0001425836,0.00003458512,0.000009668524,0.0003820827,0.0001545369,0.00007145245,0.00002017341,0.00003927206,9.311975e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008217748,"about_ca_system_score_gemma":0.0001204021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007979141,"about_ca_topic_score_gemma":0.0127592,"domain_scores_codex":[0.9994707,0.000008808914,0.00005841826,0.0001459677,0.0001302697,0.0001858876],"domain_scores_gemma":[0.9997448,0.00002319914,0.00002141983,0.00007463995,0.00004518161,0.00009071669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000001106652,0.000005251175,0.0006033975,9.558005e-7,5.18002e-7,0.00001605466,0.004860531,3.953375e-7,0.0001094623,0.7743438,0.000627793,0.2194307],"study_design_scores_gemma":[0.0005327984,0.0002682392,0.9569732,0.0000641025,0.000003128745,0.000006978375,0.005144948,0.0007874106,0.0007239318,0.03201742,0.003146333,0.0003315438],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4283611,0.002618097,0.0008262824,0.00818608,0.0006160454,0.0002886994,0.00001546768,0.00004285779,0.5590453],"genre_scores_gemma":[0.997166,0.000003339854,0.0001782014,0.002588656,0.00004322048,5.605314e-7,1.250442e-7,6.045436e-7,0.00001930717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9563698,"threshold_uncertainty_score":0.9986268,"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."}}