{"id":"W4386204732","doi":"10.1145/3603719.3603732","title":"Indexing Temporal Relations for Range-Duration Queries","year":2023,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Search engine indexing; Computer science; Duration (music); Range (aeronautics); Range query (database); Information retrieval; Search engine; Web search query; Query by Example","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002365424,0.00003997506,0.00003924855,0.00009446677,0.000135974,0.0001822697,0.0002308213,0.00001497863,0.00001751596],"category_scores_gemma":[0.00003446543,0.00003546174,0.00002192126,0.0003886443,0.000008775575,0.001117558,0.000121411,0.00002050197,0.000173258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008200847,"about_ca_system_score_gemma":0.00001247767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000151637,"about_ca_topic_score_gemma":0.00003507107,"domain_scores_codex":[0.9995507,0.000007678855,0.00009809998,0.00013683,0.00008697169,0.0001197226],"domain_scores_gemma":[0.9997104,0.00004430972,0.00002607659,0.0001775607,0.00002282083,0.00001888016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001454852,0.000008812123,0.002645927,0.00000903293,0.000009418899,0.000001882091,0.0002855086,0.00007001285,0.00002712461,0.8299593,0.1213918,0.04558973],"study_design_scores_gemma":[0.0003012184,0.00003240423,0.006684778,0.000006443348,0.000003674582,4.17234e-7,0.0001293893,0.7426811,0.0001427733,0.02943789,0.2204401,0.000139789],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005111617,0.000003956461,0.9874104,0.003940904,0.0002547727,0.0001598848,0.000003705605,0.0004901896,0.007225022],"genre_scores_gemma":[0.3119878,0.00001295433,0.5576345,0.0006592613,0.0003125305,0.0002039021,0.0004677736,0.00001814205,0.1287031],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8005214,"threshold_uncertainty_score":0.2226939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03437978022151286,"score_gpt":0.2740866709091153,"score_spread":0.2397068906876024,"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."}}