{"id":"W3184022454","doi":"10.3390/su13158162","title":"Modeling Vessel Behaviours by Clustering AIS Data Using Optimized DBSCAN","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"DBSCAN; Cluster analysis; Computer science; Data mining; Geospatial analysis; Trajectory; Scalability; Artificial intelligence; Fuzzy clustering; Geography; Remote sensing; Canopy clustering algorithm","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":[0.0004658936,0.000174568,0.0002400837,0.00003592489,0.0001304082,0.00008803963,0.0003008081,0.0001120319,0.0002194188],"category_scores_gemma":[0.0003192298,0.0002097063,0.00005736569,0.0002507082,0.00003805041,0.0003546604,0.0003305457,0.0002583089,0.000001584641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006287136,"about_ca_system_score_gemma":0.0002350457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004689177,"about_ca_topic_score_gemma":0.00003982693,"domain_scores_codex":[0.9985979,0.00008412608,0.0003452177,0.0004067048,0.0001918472,0.0003742036],"domain_scores_gemma":[0.9984097,0.00003962024,0.00001996882,0.001019425,0.0003787837,0.0001324737],"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":[0.00001438358,0.00004854813,0.0007986526,0.000229472,0.0000223012,0.00002267737,0.0001872984,0.9927098,0.0004843076,0.00004495096,0.0006234366,0.004814175],"study_design_scores_gemma":[0.0004221365,0.000003453996,0.0001061769,0.00001551775,0.00003001823,0.00000865548,0.0005885718,0.997052,0.0004305512,0.0003203522,0.0007970177,0.0002255846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5613305,0.0005092896,0.4358597,0.0004154208,0.0002734305,0.0002814032,0.0001942034,0.0004130866,0.0007230349],"genre_scores_gemma":[0.9907462,0.0000242113,0.008451334,0.00003932295,0.00004865148,0.00000792992,0.0005039931,0.00004062444,0.0001377547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4294157,"threshold_uncertainty_score":0.8551574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02641523484817444,"score_gpt":0.2891077636178414,"score_spread":0.2626925287696669,"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."}}