{"id":"W4385652294","doi":"10.1016/j.inffus.2023.101964","title":"Two improved N-two-stage K-means clustering aggregation algorithmic paradigms for HFLTS possibility distributions","year":2023,"lang":"en","type":"article","venue":"Information Fusion","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Cluster analysis; Computer science; Set (abstract data type); Fuzzy clustering; Tuple; Data mining; Group (periodic table); Algorithm; Artificial intelligence; 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":[],"consensus_categories":[],"category_scores_codex":[0.002229867,0.001032772,0.001119477,0.002823838,0.001182123,0.002355692,0.002954007,0.00125797,0.002925953],"category_scores_gemma":[0.005715866,0.0006181169,0.002167448,0.002629578,0.000852286,0.003085833,0.002530226,0.001764883,0.0007852857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001893025,"about_ca_system_score_gemma":0.002524336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005762961,"about_ca_topic_score_gemma":0.008914661,"domain_scores_codex":[0.9971291,0.0006214097,0.0002848716,0.0005364576,0.001261091,0.0001670528],"domain_scores_gemma":[0.9978309,0.0005986628,0.0002023713,0.0002874055,0.0009749266,0.0001057802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002957123,0.0002351341,0.002333084,0.0004524831,0.0002196606,0.0002024601,0.001224839,0.2645088,0.01265863,0.1299824,0.004939048,0.5829478],"study_design_scores_gemma":[0.00002464327,0.00006150077,0.0007119633,0.00002462032,0.00002702976,0.0001203953,0.0001089752,0.9616026,0.003595342,0.02897171,0.004695912,0.00005516081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00362996,0.00008822612,0.9948226,0.00007066076,0.0000274926,0.00008008624,0.00003164207,0.0001537435,0.001095606],"genre_scores_gemma":[0.09500446,0.0001708627,0.9017064,0.00008363217,0.00006466896,0.0003163695,0.0002214742,0.00007831926,0.002353875],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005762961,"threshold_uncertainty_score":0.01373494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1108875922003217,"score_gpt":0.4212142413536048,"score_spread":0.3103266491532831,"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."}}