{"id":"W2058436584","doi":"10.2316/journal.206.2014.3.206-4020","title":"FUZZY-BASED CLUSTERING AND DATA AGGREGATION FOR MULTIMODAL WSN (C-DAMM)","year":2014,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Fuzzy logic; Cluster analysis; Data mining; Fuzzy clustering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003319623,0.00006745473,0.00008957684,0.0001178988,0.00007025917,0.000168589,0.0004725724,0.00002976893,3.644585e-7],"category_scores_gemma":[0.0001048301,0.00006280638,0.00002312677,0.0000535174,0.00002181222,0.0005918482,0.0001375237,0.00005591437,3.537729e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002401124,"about_ca_system_score_gemma":0.0000321737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000197812,"about_ca_topic_score_gemma":0.000001905926,"domain_scores_codex":[0.9992756,0.00001776844,0.0002795905,0.0001476625,0.0002143664,0.00006500252],"domain_scores_gemma":[0.9989445,0.0001893739,0.000313132,0.0001464605,0.0003629175,0.00004362297],"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":[0.00001739531,0.00006069484,0.0001720271,0.00002320219,0.0000347785,0.000001374849,0.00008786483,0.2112753,0.001177967,0.2138106,0.0002053152,0.5731335],"study_design_scores_gemma":[0.0004362157,0.0000613451,0.001265614,0.00004854037,0.000006819782,0.00003498491,0.000003567606,0.9421931,0.0003414262,0.05389463,0.001648919,0.00006487151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003056258,0.0000357999,0.9918856,0.004639599,0.0002079966,0.00009288221,0.000008127656,0.00003315825,0.00004059968],"genre_scores_gemma":[0.4692006,0.00001646732,0.5304848,0.0001655687,0.0001040496,0.000002542153,0.00001858318,0.000003392566,0.000004005553],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7309178,"threshold_uncertainty_score":0.256117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02961865066359624,"score_gpt":0.3330842169728543,"score_spread":0.303465566309258,"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."}}