{"id":"W2039297230","doi":"10.1111/1468-0017.00218","title":"Context Dependence and Compositionality","year":2003,"lang":"en","type":"article","venue":"Mind & Language","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Principle of compositionality; Context (archaeology); Linguistics; Meaning (existential); Quantifier (linguistics); Conversation; Psychology; Semantics (computer science); Computer science; Cognitive psychology; Cognitive science; Epistemology; Philosophy; History","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001471421,0.00006933849,0.00008608489,0.00002478031,0.0001356934,0.00008912476,0.00004180458,0.00002202875,0.003187145],"category_scores_gemma":[0.0001516442,0.00006421101,0.00002014676,0.000009215192,0.00008189512,0.00005217975,0.00001070192,0.00005365286,0.0001149492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001368784,"about_ca_system_score_gemma":0.00001298036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007885954,"about_ca_topic_score_gemma":0.002952116,"domain_scores_codex":[0.999508,0.00004224677,0.0001123067,0.0001271657,0.00010677,0.0001035367],"domain_scores_gemma":[0.9997005,0.00006943579,0.00004267669,0.0001018601,0.00005131193,0.00003414994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000004724778,0.0000358301,0.0008072985,0.00001279106,0.00001592264,0.00002145918,0.07613394,3.179197e-7,0.0003330022,0.9201987,0.00007415983,0.002361833],"study_design_scores_gemma":[0.004528577,0.0003452241,0.02482747,0.0003194006,0.0003952424,0.0002458153,0.3584634,0.0008805669,0.02322983,0.2786961,0.305939,0.002129401],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9408912,0.0003478825,0.0002943404,0.001734063,0.0004316971,0.0001010109,0.00004968165,0.00002493772,0.05612519],"genre_scores_gemma":[0.9971352,0.000001054635,0.0004477579,0.0002654885,0.0002468261,0.000003421099,0.00001900184,0.000006658081,0.001874585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6415026,"threshold_uncertainty_score":0.9977241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236327950635726,"score_gpt":0.2475304761988647,"score_spread":0.2238976811352921,"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."}}