{"id":"W1926996314","doi":"10.1111/lnc3.12045","title":"Speech Variation, Utility, and Game Theory","year":2013,"lang":"en","type":"article","venue":"Language and Linguistics Compass","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Variation (astronomy); Perspective (graphical); Dilemma; Variety (cybernetics); Iterated function; Dominance (genetics); Game theory; Linguistics; Perception; Psychology; Sociology; Computer science; Epistemology; Mathematical economics; Mathematics; Artificial intelligence","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":[0.004032024,0.0004871668,0.0007829634,0.001680212,0.0008057503,0.002897187,0.001240918,0.001185516,0.002391061],"category_scores_gemma":[0.01077447,0.0002239726,0.000614638,0.001304549,0.007021626,0.003567106,0.001478335,0.001323632,0.0001473428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00310206,"about_ca_system_score_gemma":0.0009891184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00420536,"about_ca_topic_score_gemma":0.002192174,"domain_scores_codex":[0.9965419,0.002418681,0.0001032459,0.0002932733,0.0004393276,0.000203516],"domain_scores_gemma":[0.9925162,0.006226233,0.0003863715,0.0002758517,0.0003938695,0.0002014086],"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":[0.000007599078,0.000009905907,0.0004131543,0.0000252689,0.00001247617,0.00003661411,0.0001988926,0.01173529,0.00006986737,0.9834658,0.0003086322,0.003716619],"study_design_scores_gemma":[0.000004195666,0.000008748622,0.0003438611,0.00001301591,0.000003693352,0.00002143939,0.0001021091,0.02012222,0.00002600133,0.9777558,0.001592843,0.000005991198],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1688159,0.008004866,0.6809992,0.01118133,0.0001928093,0.0001380399,0.0002460792,0.0001177717,0.130304],"genre_scores_gemma":[0.9816892,0.001097971,0.01406466,0.0001895842,0.00009610814,0.00008239087,0.0000358689,0.0000163694,0.002727901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00420536,"threshold_uncertainty_score":0.02250713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01618219990345378,"score_gpt":0.294778912784491,"score_spread":0.2785967128810372,"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."}}