{"id":"W2049619678","doi":"10.1007/s10115-012-0486-9","title":"Skyline distance: a measure of multidimensional competence","year":2012,"lang":"en","type":"article","venue":"Knowledge and Information Systems","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Skyline; Computer science; Scalability; Measure (data warehouse); Data mining; sort; Point (geometry); Theoretical computer science; Information retrieval; Database; Mathematics","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":[0.0004603254,0.00007165393,0.0001175184,0.00008997624,0.00006108734,0.00006340846,0.0001934752,0.00002517635,0.000002451653],"category_scores_gemma":[0.00001853964,0.00005688281,0.00001930377,0.000203697,0.00002419922,0.005702739,0.0001479965,0.0000378466,0.0001092373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001084277,"about_ca_system_score_gemma":0.00001499584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000665093,"about_ca_topic_score_gemma":5.210117e-7,"domain_scores_codex":[0.9993067,0.00002701463,0.0002894177,0.00005917196,0.0001822561,0.0001354107],"domain_scores_gemma":[0.9994215,0.00002864349,0.0001302895,0.0002019252,0.0001519318,0.00006566088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005034056,0.00007576064,0.003607753,0.0003453676,0.00002423392,1.739664e-7,0.004354739,0.00001837429,0.00007525786,0.9212184,0.006581662,0.06369326],"study_design_scores_gemma":[0.0005551383,0.00003449606,0.008187594,0.000137511,0.000006771796,0.00001074659,0.0003539048,0.1804601,0.0001961503,0.00002200612,0.8098569,0.0001786908],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003340597,0.003321585,0.9514333,0.00006063814,0.001432263,0.0002872166,0.00002570848,0.00008880316,0.04000992],"genre_scores_gemma":[0.9957631,0.00003605539,0.003838686,0.00003071857,0.00007968146,0.00001017439,0.00002745626,0.000001633596,0.0002125316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9924225,"threshold_uncertainty_score":0.4134348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418241925939989,"score_gpt":0.233158839898961,"score_spread":0.2189764206395611,"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."}}