{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003555549,0.001159943,0.001274791,0.009978246,0.001362377,0.00542837,0.001572239,0.002232893,0.01283781],"category_scores_gemma":[0.01011383,0.0009557902,0.0009551885,0.01037984,0.004239377,0.009392395,0.003857785,0.002539422,0.003962223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002830603,"about_ca_system_score_gemma":0.001751401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002360781,"about_ca_topic_score_gemma":0.00142132,"domain_scores_codex":[0.9965224,0.001304887,0.0003371709,0.000558274,0.00112976,0.0001475852],"domain_scores_gemma":[0.9958184,0.002629148,0.0001774019,0.0005224143,0.0006939091,0.0001587772],"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":[0.000007369583,0.00001589124,0.0003705122,0.0004401299,0.00001496185,0.00005217846,0.0003250548,0.001330945,0.0001801544,0.8799347,0.01103387,0.1062942],"study_design_scores_gemma":[0.000002598167,0.00002163809,0.0005594532,0.0004208625,0.000008034707,0.00035277,0.0001010945,0.00266981,0.0001678677,0.7137966,0.2818756,0.0000235949],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.006337634,0.3053755,0.4644387,0.01013102,0.002206554,0.0001860451,0.001309999,0.001189869,0.2088245],"genre_scores_gemma":[0.268739,0.3573246,0.3023907,0.003510414,0.009139797,0.0008621694,0.003617975,0.002939108,0.05147628],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01283781,"threshold_uncertainty_score":0.0429467,"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."}}