{"id":"W4244583839","doi":"10.1017/9781139540704.041","title":"Word-order","year":2018,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Linguistics and language evolution","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Vocabulary; Reading (process); Grammar; Computer science; Linguistics; Order (exchange); Artificial intelligence; Natural language processing; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005472645,0.0002691145,0.0002456415,0.0001245248,0.0003472168,0.0001037832,0.0002904426,0.0001790199,0.0007725217],"category_scores_gemma":[0.00001412406,0.0002906085,0.0001409374,0.00000169401,0.0004982192,0.00004194089,0.0001868969,0.000269372,0.0001976643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001010154,"about_ca_system_score_gemma":0.00006536824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003974608,"about_ca_topic_score_gemma":0.00007023899,"domain_scores_codex":[0.9991211,0.00001362438,0.0001345271,0.0003278377,0.0001861177,0.0002168141],"domain_scores_gemma":[0.9989315,0.00002781394,0.0001518916,0.0003725993,0.0004206294,0.00009557515],"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":[0.00002212349,0.000004411677,7.157931e-8,0.00002904548,0.00007333227,0.00008917268,0.001081217,8.390558e-8,7.258398e-7,0.7868477,0.2115301,0.0003220914],"study_design_scores_gemma":[0.0002282329,0.00003724363,6.290867e-7,0.00009696552,0.0001681526,0.000002378745,0.0002274269,0.00002400924,0.000007712838,0.00007862732,0.9987702,0.0003584267],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005058087,0.0001554449,0.00005539434,0.000007352538,0.001156606,0.0001819006,0.0003708767,0.0001460293,0.9978758],"genre_scores_gemma":[0.0008283593,0.0000248385,0.0000462653,0.00008957507,0.002836882,2.827653e-7,0.00009724544,0.00004761995,0.996029],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7872401,"threshold_uncertainty_score":0.9999546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02710756702320897,"score_gpt":0.191125094127396,"score_spread":0.164017527104187,"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."}}