{"id":"W1963867137","doi":"10.1145/1385569.1385609","title":"KMVQL","year":2008,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Visualization; Data visualization; Process (computing); Information retrieval; Data mining","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":[0.00002181164,0.00001880306,0.00002179399,0.00001943435,0.00003847815,0.00001894124,0.0002324179,0.000006379619,0.00008987954],"category_scores_gemma":[0.000007732468,0.00001504059,0.000009449073,0.000135328,0.000008973706,0.0001709698,0.0000582445,0.00001060159,0.0004236182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002177968,"about_ca_system_score_gemma":0.00001303064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002945224,"about_ca_topic_score_gemma":6.701716e-7,"domain_scores_codex":[0.9997797,0.000004210023,0.00003876545,0.00006427412,0.00006591287,0.00004715697],"domain_scores_gemma":[0.9997848,0.000005242553,0.000006861846,0.0001614801,0.0000152349,0.00002641719],"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":[6.088384e-8,0.00001740735,0.000880898,5.279256e-7,0.000001408895,0.000008679434,0.00009082824,0.000006204391,0.00003121276,0.8959595,0.1003909,0.002612356],"study_design_scores_gemma":[0.0001946644,0.00002394461,0.003859273,0.00000174335,8.428832e-7,0.00006032041,0.00001103749,0.3347779,0.002234143,0.002732819,0.6559483,0.0001550325],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004870448,0.000004662502,0.9379205,0.0004063517,0.0000471004,0.000007304252,1.90327e-7,0.0001089615,0.0610179],"genre_scores_gemma":[0.8414573,0.00005263959,0.1026384,0.00619767,0.00005369407,8.795524e-7,0.000005449192,0.000003570228,0.04959035],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8932267,"threshold_uncertainty_score":0.5444897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04277853547372463,"score_gpt":0.2934323813260728,"score_spread":0.2506538458523482,"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."}}