{"id":"W3155149667","doi":"10.1002/cem.3346","title":"An efficient and accurate numerical determination of the cluster resolution metric in two dimensions","year":2021,"lang":"en","type":"article","venue":"Journal of Chemometrics","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Genome Canada","keywords":"Subspace topology; Metric (unit); Feature selection; Computation; Resolution (logic); Cluster (spacecraft); Feature (linguistics); Ellipse; Computer science; Algorithm; Variable (mathematics); Selection (genetic algorithm); Mathematics; Data mining; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001505426,0.0005852208,0.0006362837,0.0009193031,0.0005758376,0.001095274,0.0009973628,0.0006729329,0.002972378],"category_scores_gemma":[0.008203313,0.0003178623,0.0003414065,0.001080517,0.0006617423,0.001140112,0.001422992,0.001239444,0.001102158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006874904,"about_ca_system_score_gemma":0.001493653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003198732,"about_ca_topic_score_gemma":0.003138116,"domain_scores_codex":[0.9991491,0.0001984759,0.0000552134,0.0001222188,0.0004098401,0.00006507795],"domain_scores_gemma":[0.9968607,0.001659445,0.000177735,0.0004430054,0.0007533343,0.0001057566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002654647,0.0001947678,0.002062307,0.0003175786,0.00006163843,0.0002647694,0.0002672718,0.5116497,0.066072,0.09319162,0.0116767,0.3139762],"study_design_scores_gemma":[0.00001157334,0.00001298449,0.0001696827,0.000005340106,0.000001697007,0.00003184968,0.00001166831,0.9892262,0.004495566,0.004796894,0.001225256,0.00001124227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00944191,0.00008510747,0.9875881,0.0001690356,0.00003163084,0.00003801189,0.00007901072,0.0009732839,0.001593841],"genre_scores_gemma":[0.1080678,0.00005972717,0.8907543,0.00004215465,0.00001161941,0.0001037637,0.0001342262,0.0001456146,0.0006807397],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003198732,"threshold_uncertainty_score":0.009943545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763376920538726,"score_gpt":0.3240906571922323,"score_spread":0.3064568879868451,"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."}}