{"id":"W4241524013","doi":"10.1002/9781118786093.iela0444","title":"Artificial Languages","year":2020,"lang":"en","type":"other","venue":"The International Encyclopedia of Linguistic Anthropology","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Linguistics; Second-generation programming language; Constructed language; Artificial intelligence; Natural language processing; Fifth-generation programming language; Programming language; Philosophy","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":[0.001786436,0.0008352881,0.0005019696,0.002184343,0.002170011,0.008037506,0.001541693,0.002174151,0.08534436],"category_scores_gemma":[0.005219806,0.0003809852,0.0006248456,0.00245828,0.005190932,0.01049251,0.003504447,0.002700369,0.0303345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002754659,"about_ca_system_score_gemma":0.001901692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002013614,"about_ca_topic_score_gemma":0.00184424,"domain_scores_codex":[0.9978345,0.000855569,0.0001880328,0.0003862603,0.0005931156,0.0001425667],"domain_scores_gemma":[0.9978791,0.0008733555,0.0001055255,0.0005351629,0.000457328,0.0001495362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006934635,0.000005269448,0.00005855077,0.00008025685,0.000002730158,0.00002995864,0.000280556,0.0001402569,0.00008550569,0.9338256,0.04070961,0.02477487],"study_design_scores_gemma":[0.00000218802,0.000002724544,0.00004019811,0.00008695023,0.000001303495,0.00007902749,0.00009476935,0.0001531807,0.00009228515,0.139492,0.8599513,0.000004120528],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0011434,0.004759331,0.0317606,0.005734074,0.00108878,0.00008476021,0.001241105,0.0007886176,0.9533994],"genre_scores_gemma":[0.1229131,0.01880977,0.0817024,0.007172403,0.002848517,0.000729947,0.008270343,0.002785943,0.7547676],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08534436,"threshold_uncertainty_score":0.2855053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454946056939375,"score_gpt":0.2911631460509514,"score_spread":0.2666136854815577,"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."}}