{"id":"W1998344252","doi":"10.1145/2597008.2602159","title":"The MoJo family: a story about clustering evaluation (invited talk)","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Cluster analysis; Computer science; Software; Cluster (spacecraft); Domain (mathematical analysis); Data mining; Data science; Machine learning; Programming language; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07601739,0.001597559,0.001770645,0.004598388,0.01205327,0.01605636,0.004535128,0.01021159,0.00573378],"category_scores_gemma":[0.1436906,0.001316201,0.00220645,0.004898119,0.0141451,0.02625715,0.007799569,0.01745868,0.005133575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008633165,"about_ca_system_score_gemma":0.003610703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01235601,"about_ca_topic_score_gemma":0.01102175,"domain_scores_codex":[0.9536122,0.03035774,0.0008437644,0.003261893,0.01063797,0.001286399],"domain_scores_gemma":[0.9206415,0.04846873,0.001790608,0.004644855,0.01921647,0.005237903],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002329084,0.0001299901,0.001346908,0.000357599,0.0001159402,0.0002538539,0.008611954,0.002268639,0.0008822976,0.08386295,0.7245464,0.1773906],"study_design_scores_gemma":[0.00006858887,0.0001598607,0.001759833,0.0007104542,0.00004392535,0.0004639948,0.005801653,0.008223066,0.001900625,0.1244803,0.8560709,0.0003166574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007774656,0.03179377,0.2018148,0.6783434,0.02365828,0.0003745054,0.0005426815,0.004597312,0.05110067],"genre_scores_gemma":[0.1835085,0.02351751,0.3791569,0.2627611,0.03278671,0.002075995,0.001479601,0.01840427,0.09630939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9239826,"threshold_uncertainty_score":0.4020232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0333637131757482,"score_gpt":0.3204461898659646,"score_spread":0.2870824766902164,"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."}}