{"id":"W4294557430","doi":"10.18637/jss.v103.i07","title":"Hierarchical Clustering with Contiguity Constraint in <i>R</i>","year":2022,"lang":"en","type":"article","venue":"Journal of Statistical Software","topic":"Data Analysis with R","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Contiguity; Cluster analysis; Computer science; Hierarchical clustering; Theoretical computer science; Function (biology); Algorithm; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007909212,0.0001025944,0.0003215189,0.0001695833,0.0001061172,0.00009456924,0.0008172485,0.00001893696,0.0001905066],"category_scores_gemma":[0.0003849022,0.00008022326,0.00004820684,0.0004133015,0.0001151998,0.0002798076,0.0004303651,0.0006522224,0.000003338227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453686,"about_ca_system_score_gemma":0.000231762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002381971,"about_ca_topic_score_gemma":0.00003445194,"domain_scores_codex":[0.9981098,0.0002084704,0.0005004951,0.0001933971,0.000735458,0.0002524007],"domain_scores_gemma":[0.9986761,0.0005873595,0.0002295649,0.000230153,0.00009571919,0.0001810557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001104872,0.001885062,0.181386,0.0001620307,0.0004820352,0.02676424,0.002617699,0.02968113,0.0002350807,0.2091577,0.01896568,0.5275584],"study_design_scores_gemma":[0.01911152,0.01072238,0.47259,0.0005444437,0.0003494361,0.02002822,0.001823277,0.270853,0.0001705129,0.1491793,0.05183918,0.00278867],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006641724,0.0000359637,0.9921938,0.0007755124,0.0001180363,0.00005415348,0.00007355095,0.00001903532,0.0000882781],"genre_scores_gemma":[0.6034518,0.000002320131,0.3960732,0.0004219468,0.00002467283,0.000003387658,0.000004274366,0.000005791009,0.00001258797],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5968102,"threshold_uncertainty_score":0.327141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225028693388872,"score_gpt":0.2517438408299075,"score_spread":0.2394935538960188,"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."}}