{"id":"W2889269664","doi":"10.14778/3229863.3236259","title":"MustaCHE","year":2018,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cluster analysis; Computer science; Set (abstract data type); Context (archaeology); Visualization; Hierarchical clustering; Range (aeronautics); Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001582053,0.001575567,0.001220919,0.002527244,0.001333209,0.00399404,0.003081356,0.001727426,0.1042068],"category_scores_gemma":[0.007597186,0.001146424,0.001911936,0.002312917,0.000528184,0.004412164,0.005239595,0.002144231,0.05263847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007728268,"about_ca_system_score_gemma":0.001549914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005114416,"about_ca_topic_score_gemma":0.009405724,"domain_scores_codex":[0.9983128,0.0002037912,0.0001110288,0.0004223485,0.0007519231,0.0001981383],"domain_scores_gemma":[0.9977735,0.0007170049,0.0001021401,0.0006621577,0.0005386155,0.000206582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007041298,0.0001778359,0.002534462,0.001368073,0.0001558495,0.0004153736,0.0007397403,0.005915812,0.009817398,0.02839175,0.6399041,0.3098755],"study_design_scores_gemma":[0.0001655322,0.00008923255,0.002312621,0.0002998076,0.00004823473,0.0007170868,0.0002261617,0.03954933,0.01061941,0.03815142,0.907665,0.0001562018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007380902,0.001923789,0.5174622,0.001847658,0.001040655,0.0005487882,0.0376584,0.357562,0.07457551],"genre_scores_gemma":[0.06253291,0.001962025,0.694621,0.002623422,0.0003130354,0.001343268,0.1029539,0.07071956,0.06293096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1042068,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001487700288672,"score_gpt":0.273294179489814,"score_spread":0.2532793024869273,"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."}}