{"id":"W2284500072","doi":"10.1075/dia.32.3.02kil","title":"Calculating false cognates","year":2015,"lang":"en","type":"article","venue":"Diachronica","topic":"Linguistics and language evolution","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Word (group theory); Relation (database); Simple (philosophy); Natural language processing; Extension (predicate logic); Artificial intelligence; Linguistics; Data mining; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0001241247,0.00006285669,0.00007778386,0.00002183176,0.0001073217,0.00008356972,0.00006467225,0.00001906048,0.000617539],"category_scores_gemma":[0.0002083504,0.00005182238,0.00003454469,0.00001245012,0.00007354399,0.00004738769,0.00002983126,0.00005924442,0.0003059111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004496818,"about_ca_system_score_gemma":0.00005206633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006089049,"about_ca_topic_score_gemma":0.0004705359,"domain_scores_codex":[0.9995227,0.00001750729,0.000105918,0.00009815179,0.0001095509,0.000146168],"domain_scores_gemma":[0.9996473,0.00003004397,0.00003592281,0.0001095934,0.0001093828,0.0000677457],"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":[0.000005176775,0.00004374237,0.0002796844,0.00001153326,0.00001843763,0.000009977817,0.02372455,0.00004027151,0.00002076348,0.9558758,0.01748301,0.002487064],"study_design_scores_gemma":[0.0003550502,0.0000558848,0.00012667,0.00001820771,0.00001865669,0.000001042713,0.002971602,0.00284962,0.00004309656,0.004882277,0.9885218,0.0001561211],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2208073,0.003962979,0.0001409934,0.0003342117,0.001991705,0.0001534071,0.00003915722,0.0002327084,0.7723376],"genre_scores_gemma":[0.9955869,0.000002775541,0.00009173338,0.0001418472,0.001541426,0.000005154763,0.00002769768,0.00001073023,0.002591772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9710388,"threshold_uncertainty_score":0.6761619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05217789676915863,"score_gpt":0.2619025465820343,"score_spread":0.2097246498128756,"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."}}