{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009089507,0.0004834842,0.0009170321,0.0009072514,0.0009051507,0.0006566072,0.001695683,0.0008672341,0.001278947],"category_scores_gemma":[0.001512341,0.0003037977,0.0008320184,0.001234978,0.0003735824,0.0008614464,0.001376175,0.0006808187,0.000337815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009977282,"about_ca_system_score_gemma":0.001066614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008405272,"about_ca_topic_score_gemma":0.01253332,"domain_scores_codex":[0.9993456,0.00009854238,0.00004411293,0.0001662758,0.0002819564,0.00006348919],"domain_scores_gemma":[0.9996127,0.00008544971,0.00004212101,0.00007304024,0.0001603521,0.00002629055],"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":[0.00027381,0.0001466935,0.001369749,0.0002378991,0.0001643024,0.0001897549,0.0002564719,0.3590184,0.03562611,0.01250261,0.00487449,0.5853396],"study_design_scores_gemma":[0.000008561155,0.00007006813,0.0006261528,0.00001060703,0.00002221982,0.00009437405,0.00004643032,0.9869683,0.006084067,0.003863791,0.00218276,0.0000227198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01349266,0.0003326604,0.9838771,0.0001144468,0.0000848956,0.00007509651,0.00008929727,0.0005466575,0.001387263],"genre_scores_gemma":[0.3663172,0.0002833764,0.6298651,0.0001095874,0.00006198219,0.0001399458,0.000216474,0.0000558992,0.002950421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008405272,"threshold_uncertainty_score":0.01671267,"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."}}