{"id":"W7134412762","doi":"","title":"22nd International Symposium on String Processing and Information Retrieval, SPIRE 2015, Proceedings","year":2015,"lang":"en","type":"book-chapter","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Japan Science and Technology Agency; Wellcome Trust; University College London; Università degli Studi di Palermo; Bar-Ilan University; Danmarks Tekniske Universitet; University of Haifa; University of Glasgow; Seoul National University; Universiteit van Amsterdam; University of Bristol; Università degli Studi di Verona; Microsoft Research; University of Waterloo; University of Twente; Uniwersytet Warszawski; Universidad de Chile; Universidade da Coruña; RMIT University; King's College London; Georgetown University; Università di Pisa; Ben-Gurion University of the Negev; Helsingin Yliopisto; Colorado State University","keywords":"Spire (mollusc); String (physics); Information processing; Key (lock)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006596697,0.0004145864,0.0003630854,0.005130585,0.001394266,0.001289266,0.001921342,0.0005688828,0.00001329342],"category_scores_gemma":[0.001727732,0.0003752169,0.00006195535,0.001931912,0.001574976,0.006295521,0.00116899,0.001195719,0.0000323799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008526962,"about_ca_system_score_gemma":0.002379868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007749414,"about_ca_topic_score_gemma":8.884693e-7,"domain_scores_codex":[0.9931227,0.0000126284,0.0007793434,0.0009482399,0.004173588,0.0009634909],"domain_scores_gemma":[0.9913493,0.0001498063,0.0004863526,0.0002862913,0.007398149,0.0003301489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001011254,0.00005837078,0.00009622458,0.0001951052,0.00003060355,0.00000558852,0.0004133761,9.731975e-7,0.000722907,0.8700274,0.01318115,0.1151672],"study_design_scores_gemma":[0.002507909,0.003763357,0.0002573129,0.001170103,0.00003318734,0.0003420351,0.000438179,0.02728345,0.004466322,0.2169903,0.7409326,0.001815196],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01222381,0.004657616,0.007413441,0.02415819,0.002037961,0.01018876,0.001195906,0.001853034,0.9362713],"genre_scores_gemma":[0.562772,0.01105991,0.02335389,0.0008052836,0.001379844,0.001464735,0.001632233,0.0002580352,0.3972741],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7277515,"threshold_uncertainty_score":0.9999058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0682234524385262,"score_gpt":0.3636599212979489,"score_spread":0.2954364688594227,"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."}}