{"id":"W2139714950","doi":"10.1023/a:1016524013831","title":"Hypothetical Temporal Reasoning in Databases","year":2002,"lang":"en","type":"article","venue":"Journal of Intelligent Information Systems","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Predicate (mathematical logic); Data integrity; Relational database; Temporal database; Database schema; Temporal logic; Programming language; Database; Theoretical computer science; State (computer science); Database theory; Database design; Information retrieval","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":[0.001012534,0.0001172118,0.0002551528,0.0004116496,0.00005307226,0.0002824236,0.0005696918,0.00005027653,0.00003925064],"category_scores_gemma":[0.0003319788,0.00008693379,0.00009403983,0.0003622756,0.00002404902,0.003018135,0.00008288038,0.0002272313,0.0003484142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001232014,"about_ca_system_score_gemma":0.0000447191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002866658,"about_ca_topic_score_gemma":0.000003220607,"domain_scores_codex":[0.9980487,0.00009435524,0.001117452,0.0000737167,0.0004561069,0.0002096661],"domain_scores_gemma":[0.9985502,0.0001174381,0.0006594578,0.0002419214,0.0003063057,0.0001246982],"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":[0.00007090538,0.000593298,0.03100758,0.0003474228,0.0001221129,0.000185486,0.03338803,0.008036057,0.0000617045,0.749228,0.04711789,0.1298415],"study_design_scores_gemma":[0.001030079,0.0004116852,0.001151389,0.0009417573,0.00001279003,0.002519887,0.002874444,0.5208667,0.001019994,0.0003071623,0.4683966,0.000467495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01715938,0.001555509,0.9420847,0.0002209519,0.002161798,0.0001998132,0.000003043867,0.00005013618,0.03656469],"genre_scores_gemma":[0.9946333,0.00015944,0.004778855,0.00009806546,0.0001510498,0.000002976572,0.000001792788,0.00000364816,0.0001708645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9774739,"threshold_uncertainty_score":0.4478276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04761731362541245,"score_gpt":0.2615235239113944,"score_spread":0.2139062102859819,"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."}}