{"id":"W2149990615","doi":"10.18956/00006099","title":"Towards a linguistic interpretation of Kuhn's Laws : With special reference to Old English Beowulf (Part 2)","year":2012,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Linguistics and language evolution","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Illinois at Urbana-Champaign; University of Toronto; University College London; Goethe-Universität Frankfurt am Main; Yale University; University of Cambridge; Harvard University; University of Pennsylvania","keywords":"Section (typography); Interpretation (philosophy); Ambiguity; Law; Philosophy; Linguistics; Phrase; Word order; Contradiction; Computer science; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008585025,0.0003693808,0.0002240676,0.001840236,0.001932649,0.003837349,0.0006597771,0.001017647,0.001427442],"category_scores_gemma":[0.001161682,0.0002266921,0.0002490957,0.001242545,0.01077355,0.00421615,0.001373786,0.001961116,0.000288266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002809962,"about_ca_system_score_gemma":0.0007242116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01067497,"about_ca_topic_score_gemma":0.01130044,"domain_scores_codex":[0.9995913,0.0001955865,0.00001585192,0.00006119142,0.00007134006,0.0000647588],"domain_scores_gemma":[0.9995769,0.0002318045,0.00006633301,0.0000301024,0.00007339301,0.00002151092],"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":[0.00001339237,0.00001503909,0.001048964,0.00004844054,0.000003450042,0.0002354163,0.02506024,0.0001253625,0.0004648977,0.9620112,0.003899842,0.007073719],"study_design_scores_gemma":[0.00001296637,0.00006265886,0.01110036,0.0002291449,0.00002189454,0.000462304,0.02936913,0.001635629,0.001909963,0.5372199,0.4179389,0.00003712667],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3536457,0.04027124,0.05110611,0.03450858,0.001991688,0.000132498,0.0002635917,0.0002310808,0.5178494],"genre_scores_gemma":[0.9603267,0.004408746,0.006900382,0.002317135,0.0006786159,0.0000537143,0.00007740512,0.00006736743,0.02516999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01067497,"threshold_uncertainty_score":0.02122563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02415923139320581,"score_gpt":0.2473455119718272,"score_spread":0.2231862805786214,"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."}}