{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0001382739,0.0002763271,0.0002147441,0.0004696783,0.0001820305,0.02212049,0.002078867,0.00006547374,0.00001305978],"category_scores_gemma":[0.0008688972,0.0002267536,0.00007203336,0.0003470035,0.000292864,0.02253497,0.0009304972,0.0004990005,0.0000147734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007350589,"about_ca_system_score_gemma":0.0004206673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004974491,"about_ca_topic_score_gemma":0.000003476444,"domain_scores_codex":[0.9980632,0.00002619763,0.0004144263,0.0003968015,0.0007552698,0.0003441248],"domain_scores_gemma":[0.9985241,0.00009834625,0.0002784981,0.0002635353,0.0004327255,0.0004027971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001693767,0.0002030517,0.01208104,0.00002091535,0.0001018464,0.001044377,0.005079956,0.000003994694,0.00004073073,0.3810478,0.009912322,0.5902945],"study_design_scores_gemma":[0.002204587,0.0005154373,0.001486974,0.0005372656,0.00002607472,0.005217702,0.001486345,0.02037236,0.003530621,0.7359074,0.2267327,0.001982541],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1003931,0.1313091,0.5713482,0.01950213,0.02049706,0.000911548,0.0007167811,0.009537887,0.1457842],"genre_scores_gemma":[0.8882085,0.00000951978,0.1077424,0.000579735,0.00117887,0.000002931557,0.00008382228,0.00002830043,0.002165967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7878155,"threshold_uncertainty_score":0.9911363,"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."}}