{"id":"W2966053671","doi":"10.3390/app9153145","title":"AUV Adaptive Sampling Methods: A Review","year":2019,"lang":"en","type":"review","venue":"Applied Sciences","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Adaptive sampling; Computer science; Sampling (signal processing); Underwater; Control engineering; Artificial intelligence; Engineering; Geography; Telecommunications","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":[0.001469575,0.0002986233,0.001295635,0.0001126079,0.0001257075,0.00009240284,0.001160396,0.0001242756,0.00004315133],"category_scores_gemma":[0.000003238172,0.0002133678,0.0002224876,0.0007039546,0.00009510179,0.00006833448,0.0001438169,0.0002859291,0.0006009591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006480471,"about_ca_system_score_gemma":0.00009531141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004474742,"about_ca_topic_score_gemma":0.000001099234,"domain_scores_codex":[0.9984459,0.000135243,0.0005710666,0.0003401343,0.0002306291,0.0002769793],"domain_scores_gemma":[0.9988547,0.0003507696,0.0001675918,0.0005511391,0.00001890518,0.00005689067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[5.562188e-8,0.000002066724,1.491429e-8,0.01725512,0.00003340844,6.859754e-8,0.00002840825,0.0000183063,0.000004633464,0.000970451,0.0001721104,0.9815153],"study_design_scores_gemma":[0.00001651409,0.000007114689,2.414895e-8,0.02063646,0.0001529916,0.00000709082,0.00003835111,0.0001023793,0.000005347217,0.0001332746,0.9786332,0.0002672533],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[2.435595e-8,0.9386597,0.03129168,0.000008445591,0.0001165599,0.0008075395,0.000005154134,0.0001713652,0.02893949],"genre_scores_gemma":[0.000005131177,0.9510971,0.04836272,0.00006588863,0.00005533779,0.0002718272,0.000008466078,0.00003143511,0.0001020596],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9812481,"threshold_uncertainty_score":0.8700887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3261907512459012,"score_gpt":0.4342536694706987,"score_spread":0.1080629182247975,"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."}}