{"id":"W1990825561","doi":"10.1007/s10579-008-9072-x","title":"Disambiguation of partial cognates","year":2008,"lang":"en","type":"article","venue":"Language Resources and Evaluation","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cognate; Computer science; Natural language processing; Meaning (existential); Context (archaeology); Artificial intelligence; Word (group theory); Word-sense disambiguation; Machine translation; Linguistics; Psychology; Biology","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":[0.006116039,0.001459735,0.002303403,0.005921434,0.003163668,0.005768831,0.002042032,0.001811421,0.008848233],"category_scores_gemma":[0.02146505,0.0006951427,0.001535985,0.002429568,0.001787734,0.01053067,0.005356506,0.001713185,0.00309744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017604,"about_ca_system_score_gemma":0.002856692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004551423,"about_ca_topic_score_gemma":0.005629841,"domain_scores_codex":[0.9912361,0.003672736,0.00103569,0.001741673,0.001669076,0.0006447629],"domain_scores_gemma":[0.9856762,0.007221584,0.0004057398,0.002683434,0.003360565,0.0006524947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004896315,0.0006061334,0.01905972,0.001615557,0.0006600255,0.00166222,0.002497594,0.01793492,0.0508,0.06224063,0.0210597,0.8169671],"study_design_scores_gemma":[0.0005376345,0.0009701094,0.01528149,0.0005511554,0.001881893,0.005065022,0.005389212,0.4316488,0.2522224,0.2108976,0.07501578,0.0005388839],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6149464,0.00576524,0.3177124,0.001455067,0.0009577194,0.0006895741,0.004876391,0.01208646,0.04151073],"genre_scores_gemma":[0.8598629,0.0007685002,0.125527,0.0002803565,0.0001895238,0.0001334095,0.005487444,0.001206687,0.006544],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008848233,"threshold_uncertainty_score":0.03234506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0240283775658798,"score_gpt":0.3017247175024333,"score_spread":0.2776963399365535,"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."}}