{"id":"W7112404773","doi":"","title":"Extending an interoperable platform to facilitate the creation of multilingual and multimodal NLP applications","year":2013,"lang":"en","type":"article","venue":"Research Explorer (The University of Manchester)","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Open Text (Canada)","funders":"Engineering and Physical Sciences Research Council","keywords":"Interoperability; Feature (linguistics); Semantics (computer science); Semantic interoperability","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":[0.006323361,0.001402455,0.0009137944,0.001876996,0.001818932,0.005425801,0.003772683,0.002882459,0.01436169],"category_scores_gemma":[0.01120559,0.001391374,0.001552446,0.001255114,0.001151207,0.01399056,0.01866771,0.004755845,0.01122432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006113246,"about_ca_system_score_gemma":0.001888685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002783005,"about_ca_topic_score_gemma":0.003472289,"domain_scores_codex":[0.9968717,0.0008215865,0.0003764644,0.0006688097,0.0009334554,0.0003280686],"domain_scores_gemma":[0.994945,0.001434373,0.0001596792,0.002074532,0.0008330841,0.0005533966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002476573,0.002462079,0.006181336,0.001468405,0.0003884625,0.004856878,0.01103228,0.008422992,0.1194564,0.1009681,0.1402916,0.6019949],"study_design_scores_gemma":[0.0004691482,0.000416432,0.002414695,0.0005335914,0.0002484001,0.001605632,0.001465377,0.1128267,0.07047889,0.06521981,0.7439463,0.0003749903],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02137018,0.0004750677,0.8378977,0.001639848,0.0005797322,0.001246719,0.001853115,0.1138151,0.02112255],"genre_scores_gemma":[0.1422317,0.000733217,0.7794698,0.00110287,0.0002424296,0.00209424,0.01676233,0.0224979,0.03486545],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01436169,"threshold_uncertainty_score":0.04804462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1187951684426273,"score_gpt":0.3081394766782208,"score_spread":0.1893443082355935,"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."}}