{"id":"W4390599221","doi":"10.1111/tgis.13126","title":"<scp>QuadGridSIM</scp>: A quadrilateral grid‐based method for high‐performance and robust trajectory similarity analysis","year":2024,"lang":"en","type":"article","venue":"Transactions in GIS","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Trajectory; Robustness (evolution); Computer science; Quadrilateral; Similarity (geometry); Similarity measure; Grid; Data mining; Cluster analysis; Algorithm; Mathematics; Artificial intelligence; Engineering","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":[0.0004731094,0.0005344537,0.000510247,0.0009623831,0.0004483406,0.0008448549,0.001137677,0.000560578,0.007613795],"category_scores_gemma":[0.001785938,0.000271383,0.0005837593,0.001371964,0.0004964352,0.0009284366,0.001081555,0.0007020697,0.002002578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005139982,"about_ca_system_score_gemma":0.0009678104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008103283,"about_ca_topic_score_gemma":0.006078216,"domain_scores_codex":[0.999723,0.00004838347,0.00001938047,0.00004390606,0.0001418791,0.00002339848],"domain_scores_gemma":[0.9993688,0.0001418626,0.00006795269,0.0001215053,0.0002461185,0.00005373266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002376448,0.0000846466,0.002553028,0.0003222066,0.00009577649,0.0004413033,0.0002957163,0.4893274,0.02411704,0.04041972,0.03737583,0.4047298],"study_design_scores_gemma":[0.000007142102,0.00001098494,0.0001632971,0.000005812239,0.000002241172,0.00002915769,0.00001650081,0.9917612,0.002141177,0.002484712,0.003369456,0.000008303597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005345021,0.00006332767,0.9900634,0.00009680317,0.00005952694,0.00003643475,0.0001786143,0.002815224,0.001341696],"genre_scores_gemma":[0.2475225,0.0001746968,0.744747,0.0001772456,0.0000581547,0.0001957924,0.001470766,0.001416567,0.004237305],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008103283,"threshold_uncertainty_score":0.02547073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358268949463536,"score_gpt":0.2727323797923726,"score_spread":0.2491496902977373,"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."}}