{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0008341405,0.0006018893,0.0005400407,0.0008779824,0.0002728437,0.001100266,0.006064075,0.0004144894,0.00007604314],"category_scores_gemma":[0.00006600381,0.0005717418,0.000129105,0.0004740298,0.0005449985,0.001294186,0.002158491,0.0009737512,0.00007699252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002651357,"about_ca_system_score_gemma":0.0004473669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008768997,"about_ca_topic_score_gemma":0.0005923103,"domain_scores_codex":[0.9956443,0.00004075951,0.0005019936,0.001922934,0.001059136,0.000830933],"domain_scores_gemma":[0.9969476,0.000197399,0.0002594955,0.002228115,0.0001330454,0.0002343266],"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":[0.00000451667,0.00003247098,0.00001522518,0.00002033386,0.000006798826,0.00009389114,0.0001944854,0.02724805,0.000006921108,0.01717174,0.00001297818,0.9551926],"study_design_scores_gemma":[0.0002279546,0.0002196091,0.0001431913,0.0002501835,0.000008357203,0.00001626593,7.484141e-8,0.9042612,0.0001814098,0.08849959,0.005500849,0.0006913249],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001156955,0.0001385677,0.990068,0.00168139,0.002946491,0.0003377867,0.000009278297,0.0003237132,0.00448319],"genre_scores_gemma":[0.02362084,0.00001535614,0.9702263,0.004403692,0.00145512,0.000009146256,0.00002169214,0.00003648044,0.0002113419],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9545013,"threshold_uncertainty_score":0.9999367,"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."}}