{"id":"W2541303650","doi":"10.1111/lnc3.12204","title":"Generative Metrics: An Overview","year":2016,"lang":"en","type":"article","venue":"Language and Linguistics Compass","topic":"Linguistic research and analysis","field":"Arts and Humanities","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Generative grammar; Linguistics; Phonology; Typology; Section (typography); Field (mathematics); Computer science; Theoretical linguistics; Interface (matter); Variation (astronomy); Sociology; Natural language processing; Philosophy; Mathematics; Anthropology","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":[0.0002132251,0.0001297526,0.0002142498,0.0001301438,0.0002304837,0.0002216259,0.0001497876,0.00002657678,0.001779738],"category_scores_gemma":[0.001753901,0.00007619199,0.00005468594,0.00005460004,0.0001750003,0.00003109319,0.00005651093,0.00007403813,0.0000736485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001724515,"about_ca_system_score_gemma":0.00002440163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000499437,"about_ca_topic_score_gemma":0.000692235,"domain_scores_codex":[0.9990494,0.00007150585,0.0001868961,0.0002275402,0.000215552,0.0002490648],"domain_scores_gemma":[0.9990205,0.0002094882,0.00005550362,0.0002361214,0.0003044964,0.0001738992],"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":[0.00001129724,0.00006547289,0.000307759,0.00003094524,0.00007903182,0.00008552436,0.01887529,2.101316e-7,0.0001337441,0.960465,0.003669986,0.01627574],"study_design_scores_gemma":[0.0005192591,0.0001655991,0.0001072235,0.00006386097,0.00008102527,0.000001678779,0.003772171,0.0008319663,0.0004465417,0.01762114,0.9760782,0.0003113237],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2292391,0.05380703,0.005489206,0.00193937,0.005026138,0.0007931673,0.001347851,0.0007745773,0.7015836],"genre_scores_gemma":[0.9850745,0.0004940376,0.0006103044,0.0003154404,0.004903663,0.000006768748,0.00002499893,0.00001632098,0.008553961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9724082,"threshold_uncertainty_score":0.9991328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0867462622634829,"score_gpt":0.3337996698572132,"score_spread":0.2470534075937303,"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."}}