{"id":"W4400276395","doi":"10.1109/wcnc57260.2024.10570586","title":"An AUV-Assisted Data Collection Approach for UASNs Based on Hybrid Clustering and Matrix Completion","year":2024,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cluster analysis; Computer science; Data collection; Matrix completion; Matrix (chemical analysis); Matrix algebra; Data mining; Artificial intelligence; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002160393,0.00009131589,0.000100228,0.00009193984,0.00009668207,0.0002256404,0.0001828748,0.00003221737,0.00001221171],"category_scores_gemma":[9.524708e-7,0.00008413288,0.00001845251,0.0001066721,0.000009149812,0.0001673673,0.00003700461,0.0000658703,0.000003742204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000042332,"about_ca_system_score_gemma":0.000008486973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000438801,"about_ca_topic_score_gemma":0.00002665465,"domain_scores_codex":[0.999427,0.00003097661,0.0001560605,0.0002020384,0.00007865267,0.0001053388],"domain_scores_gemma":[0.9994056,0.00004952307,0.00001006463,0.0004766152,0.00001625296,0.00004192517],"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":[0.0003858743,0.0007000491,0.0007755464,0.00791729,0.0005517369,0.000009034633,0.001433438,0.3621982,0.2247079,0.00188677,0.04473474,0.3546993],"study_design_scores_gemma":[0.0002203758,0.00005224142,0.000181588,0.0000329512,0.00001256175,0.0000119792,0.00008230412,0.9802216,0.001116156,0.00001342507,0.0179486,0.0001062158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007055211,0.0001141733,0.9896275,0.00009901307,0.00007908268,0.0003150887,0.00004602221,0.0005883108,0.002075596],"genre_scores_gemma":[0.9590265,0.0000120539,0.03996599,0.00002727928,0.00005545506,0.0000572308,0.0006286646,0.00002907287,0.0001977831],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9519712,"threshold_uncertainty_score":0.3430839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06606573492137988,"score_gpt":0.2934544421934201,"score_spread":0.2273887072720402,"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."}}