{"id":"W2256934714","doi":"10.18329/09757597/2015/8101","title":"Biolinguistics, Natural Language Processing, and Digital Libraries","year":2015,"lang":"en","type":"article","venue":"World Digital Libraries - An international journal","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Natural (archaeology); Computer science; Natural language processing; Linguistics; History; Philosophy; Archaeology","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":[0.0021423,0.0004300766,0.000447244,0.003894552,0.002369384,0.008937512,0.0009869307,0.00108838,0.007074523],"category_scores_gemma":[0.00589099,0.0002557527,0.0002755351,0.005211744,0.01135074,0.009643293,0.002232545,0.001447335,0.001428897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003589014,"about_ca_system_score_gemma":0.00290264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005073967,"about_ca_topic_score_gemma":0.00628,"domain_scores_codex":[0.9980041,0.001182819,0.0001324144,0.0002054892,0.0003756697,0.00009937264],"domain_scores_gemma":[0.9944369,0.004106324,0.000554198,0.0003144692,0.000365601,0.0002225688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003938577,0.00005348726,0.00120828,0.0004627628,0.00001413582,0.0002660418,0.00298331,0.0008326196,0.0007267351,0.8679507,0.006426851,0.1190357],"study_design_scores_gemma":[0.000006255218,0.00001832423,0.001405452,0.000274219,0.00001155945,0.0005802434,0.003758986,0.001963166,0.0009025452,0.8650593,0.1259878,0.00003200762],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0530948,0.1281563,0.2782549,0.07030497,0.001180918,0.0001405535,0.0003069268,0.001856942,0.4667036],"genre_scores_gemma":[0.6542985,0.05198862,0.2258598,0.007426765,0.001494705,0.0002370678,0.000356071,0.000416624,0.05792177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008937512,"threshold_uncertainty_score":0.02604026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676889513614171,"score_gpt":0.2752886984733457,"score_spread":0.258519803337204,"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."}}