{"id":"W2591101772","doi":"10.29173/cais286","title":"Designing a Language-Independent Search Prototype for Accessing Multilingual Resources from Metadata-Enabled Repositories Information Need","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Metadata; Humanities; World Wide Web; The Internet; Computer science; Library science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003287754,0.0007784972,0.001389239,0.001588817,0.001036222,0.003868375,0.004027835,0.002181791,0.01023269],"category_scores_gemma":[0.01055953,0.001089187,0.001204964,0.001196487,0.0009661558,0.007995578,0.002150935,0.001531262,0.006155756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238057,"about_ca_system_score_gemma":0.001648957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005873691,"about_ca_topic_score_gemma":0.005258355,"domain_scores_codex":[0.9979655,0.0004272948,0.0002718721,0.0005046402,0.0006725533,0.0001582989],"domain_scores_gemma":[0.9961925,0.001702848,0.0001493016,0.0005617652,0.001175124,0.0002185304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002619745,0.001358351,0.006778757,0.005166785,0.0003220396,0.004001135,0.01826788,0.01196494,0.3942962,0.04251768,0.05102033,0.4616862],"study_design_scores_gemma":[0.0007884729,0.001858423,0.003979466,0.0005616094,0.000497231,0.004119979,0.007727002,0.3422559,0.3657651,0.01312337,0.2587641,0.000559287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06248482,0.000383052,0.8517218,0.0008746872,0.0001296661,0.001653612,0.00119768,0.0711107,0.01044397],"genre_scores_gemma":[0.1503712,0.0002302959,0.8308154,0.0003836199,0.00002778083,0.0009116613,0.002436461,0.003298061,0.01152557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01023269,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0287454222496354,"score_gpt":0.2833949247244765,"score_spread":0.2546495024748411,"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."}}