{"id":"W187572437","doi":"10.1007/978-94-015-9696-1_5","title":"Relationships in Multilingual Thesauri","year":2001,"lang":"en","type":"book-chapter","venue":"Information science and knowledge management","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Linguistics; Thesaurus; Relation (database); Context (archaeology); Information structure; Information retrieval; Natural language processing; World Wide Web; History; Philosophy","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":[0.001397021,0.0004116498,0.0004902862,0.002402536,0.001996952,0.00564912,0.0009218467,0.001063007,0.01049271],"category_scores_gemma":[0.005745252,0.0009143645,0.0007522337,0.005266612,0.002010628,0.0155214,0.002731839,0.001687826,0.002964594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555897,"about_ca_system_score_gemma":0.001124472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004989381,"about_ca_topic_score_gemma":0.005319172,"domain_scores_codex":[0.9985464,0.0006789718,0.0001875115,0.0002136415,0.0002925434,0.00008096119],"domain_scores_gemma":[0.9979188,0.001208604,0.0001481436,0.0004150663,0.0002483565,0.00006104985],"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":[0.00004467251,0.00003795112,0.0005082096,0.0002871643,0.00002416096,0.0003514802,0.002976481,0.001750547,0.001497106,0.8517436,0.008508897,0.1322698],"study_design_scores_gemma":[0.00001640352,0.00003264541,0.000658358,0.000346412,0.00008671354,0.000876894,0.001500374,0.01250101,0.00344609,0.6582291,0.322268,0.00003799682],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05607126,0.01713416,0.6638031,0.003476729,0.0007262425,0.0002098746,0.001051404,0.002277012,0.2552503],"genre_scores_gemma":[0.4485161,0.0140076,0.4113151,0.0008139472,0.0006140329,0.0003751319,0.003321664,0.001672579,0.1193638],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01049271,"threshold_uncertainty_score":0.03510159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03188928000121715,"score_gpt":0.2877159163677354,"score_spread":0.2558266363665183,"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."}}