{"id":"W1763623545","doi":"10.1007/11424918_21","title":"Towards an Ontology-Based Spatial Clustering Framework","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Cluster analysis; Computer science; Ontology; Data mining; Spatial analysis; Information retrieval; Artificial intelligence; Geography; Remote sensing","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":[0.00289289,0.0008107199,0.001301075,0.003399282,0.00226648,0.005957925,0.00463617,0.001711124,0.002766458],"category_scores_gemma":[0.003374075,0.0009459755,0.003229898,0.00560692,0.001980098,0.006587278,0.005666538,0.002807788,0.001730515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002201023,"about_ca_system_score_gemma":0.004982277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02108806,"about_ca_topic_score_gemma":0.03005614,"domain_scores_codex":[0.9977565,0.0004557059,0.000318209,0.0004322263,0.0008822829,0.0001550164],"domain_scores_gemma":[0.9985233,0.0002629048,0.0001156312,0.0003711209,0.0005524599,0.0001747093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006141329,0.0001730192,0.001048938,0.0004244895,0.0001846616,0.0002949002,0.001390294,0.03515255,0.004321047,0.7845882,0.01370724,0.1586532],"study_design_scores_gemma":[0.00003191979,0.00003691513,0.0006703725,0.0002304515,0.0001780481,0.000408243,0.001081605,0.2564082,0.004017644,0.5599055,0.1769507,0.00008043913],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001126088,0.0001322029,0.9952804,0.0002554348,0.00004036419,0.0000725723,0.000275135,0.0009571019,0.001860603],"genre_scores_gemma":[0.01623151,0.0003564076,0.9795741,0.0001303797,0.00002971687,0.0001761601,0.001530389,0.0002279442,0.001743395],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02108806,"threshold_uncertainty_score":0.04193062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02057685886093921,"score_gpt":0.2650080722306205,"score_spread":0.2444312133696813,"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."}}