{"id":"W4254895427","doi":"10.22215/etd/2010-09029","title":"OLAP for trajectories","year":2010,"lang":"en","type":"dissertation","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Online analytical processing; Computer science; Information retrieval; Data mining; Data warehouse","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":[0.0008753242,0.00107802,0.0009446001,0.002226726,0.001337341,0.004779854,0.001493405,0.0009735085,0.01655114],"category_scores_gemma":[0.004709919,0.0005207545,0.001188906,0.004368114,0.0006110278,0.006049185,0.00313673,0.002271662,0.009459151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001375678,"about_ca_system_score_gemma":0.001641919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006585029,"about_ca_topic_score_gemma":0.004118522,"domain_scores_codex":[0.9986265,0.0001524378,0.0001121245,0.0003316672,0.0006518845,0.0001254196],"domain_scores_gemma":[0.9982495,0.0003727722,0.00008028812,0.0006046693,0.0005658116,0.000126828],"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":[0.0001948692,0.00004640556,0.001346754,0.0004732938,0.0001148231,0.0003032372,0.0003491414,0.03942697,0.005145168,0.303213,0.07467718,0.5747092],"study_design_scores_gemma":[0.0000223322,0.00004320384,0.0008737313,0.000201753,0.00003460875,0.0004135234,0.0003962904,0.304244,0.009518067,0.4196375,0.2645317,0.00008333605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004238435,0.001998669,0.9669162,0.00204261,0.0007076261,0.00007592139,0.003903536,0.006546463,0.01357057],"genre_scores_gemma":[0.115882,0.005503611,0.8307235,0.0004506744,0.0006415253,0.000239198,0.01319485,0.002293691,0.03107108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01655114,"threshold_uncertainty_score":0.05536908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01249896302712996,"score_gpt":0.2690094075350616,"score_spread":0.2565104445079316,"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."}}