{"id":"W2029354160","doi":"10.1145/2668260.2668267","title":"A Flexible Approach for Text Processing Engineering","year":2014,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; Modular design; Consistency (knowledge bases); Text processing; Set (abstract data type); Rule-based machine translation; Chain (unit); Programming language; Sequence (biology); Theoretical computer science; Natural language processing; Artificial intelligence","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":[0.004204216,0.001013466,0.0006387566,0.002517309,0.00187441,0.004908104,0.003694976,0.001795659,0.005798075],"category_scores_gemma":[0.007392198,0.001011667,0.002731927,0.001470729,0.005186206,0.006628096,0.004990107,0.003730402,0.00259711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631258,"about_ca_system_score_gemma":0.002347931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0014418,"about_ca_topic_score_gemma":0.001310849,"domain_scores_codex":[0.9939764,0.001678055,0.0004609386,0.001411004,0.00219878,0.0002749337],"domain_scores_gemma":[0.9945483,0.001651529,0.0003260792,0.002464221,0.0008008359,0.000209073],"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":[0.0000530263,0.00008075403,0.0004210495,0.0003029529,0.0000663105,0.0003481366,0.001367648,0.01451689,0.01410643,0.8584166,0.002245281,0.108075],"study_design_scores_gemma":[0.00003832613,0.0001250274,0.0002606458,0.000182731,0.00007527948,0.0004969723,0.0003435425,0.09257302,0.01271844,0.7911057,0.1019936,0.00008662516],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001097886,0.00009323275,0.9961312,0.0002083833,0.0000243131,0.00007048903,0.00002463834,0.0003535443,0.001996307],"genre_scores_gemma":[0.04089094,0.0002525091,0.9526336,0.0002174453,0.00007916891,0.000289183,0.0001681792,0.000342578,0.005126335],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005798075,"threshold_uncertainty_score":0.02223426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206889841765932,"score_gpt":0.2481579020891778,"score_spread":0.2360890036715185,"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."}}