{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001741505,0.00006123792,0.00006871077,0.00004006576,0.00008067404,0.00007836564,0.001019538,0.00001711041,0.00002244282],"category_scores_gemma":[0.00005644122,0.00003919653,0.00004100905,0.000354573,0.0000711658,0.0002394026,0.0004806728,0.00003691528,0.00003285873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001955793,"about_ca_system_score_gemma":0.00001639548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006304939,"about_ca_topic_score_gemma":6.648143e-7,"domain_scores_codex":[0.9993461,0.00000238026,0.0001380538,0.0001468445,0.0002419021,0.0001247492],"domain_scores_gemma":[0.9995082,0.000007000518,0.0001098581,0.0001490459,0.000189595,0.00003631341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002822204,0.00009906707,0.002191163,0.00003090547,0.00002364905,1.128633e-7,0.001166259,0.000001049012,0.01664836,0.9297303,0.04390687,0.006199449],"study_design_scores_gemma":[0.0006322693,0.000217594,0.002705677,0.00009315515,0.00002821993,0.00001260205,0.0003160172,0.02877054,0.7474197,0.02391737,0.195607,0.0002798147],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.209643,0.0002608574,0.2148121,0.03037078,0.003956891,0.001777663,0.00003224516,0.001014497,0.5381319],"genre_scores_gemma":[0.9909064,0.000009119599,0.006825674,0.0007389387,0.00008870707,0.000004112209,3.242609e-7,0.00000435234,0.001422437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9058129,"threshold_uncertainty_score":0.1894573,"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."}}