{"id":"W2388068227","doi":"","title":"An Improved Indexing Method for Moving Objects","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Search engine indexing; Computer science; Trajectory; Index (typography); Convex hull; Property (philosophy); Function (biology); Computer vision; Artificial intelligence; Hull; Regular polygon; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009113659,0.0006913422,0.001552155,0.004477263,0.001228032,0.002113253,0.001842821,0.0008173925,0.004343353],"category_scores_gemma":[0.003529969,0.0004331826,0.0009818919,0.007327952,0.0007237769,0.005849515,0.001575402,0.001319928,0.003128355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009672923,"about_ca_system_score_gemma":0.001532128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007378086,"about_ca_topic_score_gemma":0.003496341,"domain_scores_codex":[0.9975516,0.0001765182,0.000203641,0.0004010861,0.001523273,0.0001438497],"domain_scores_gemma":[0.9981115,0.0002564698,0.0001162582,0.0004919852,0.0009359757,0.00008788901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001848717,0.00009318114,0.00084354,0.0002499604,0.00005996601,0.0002125177,0.0003047839,0.009610726,0.02808573,0.05510575,0.01830167,0.8869473],"study_design_scores_gemma":[0.0001397766,0.0002983137,0.002678301,0.00009386987,0.0001937603,0.001895869,0.0002883178,0.6771649,0.08173027,0.05038886,0.1848007,0.000327134],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003775528,0.0009011254,0.9902971,0.00008364049,0.0002151679,0.00008427165,0.0003256114,0.001999161,0.002318343],"genre_scores_gemma":[0.06334294,0.001671389,0.9226751,0.0001239684,0.0004340373,0.0002256669,0.002464273,0.0005760997,0.008486558],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007378086,"threshold_uncertainty_score":0.01467031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027707946952918,"score_gpt":0.2975007286245641,"score_spread":0.287223649155035,"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."}}