{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008815436,0.000979563,0.001300729,0.002779382,0.0003681459,0.001111495,0.00152596,0.00117527,0.004628857],"category_scores_gemma":[0.001954908,0.0005472763,0.0007436075,0.003273908,0.0004691364,0.001695488,0.00080996,0.0009968033,0.00262445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004889463,"about_ca_system_score_gemma":0.001171384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002151898,"about_ca_topic_score_gemma":0.001555591,"domain_scores_codex":[0.9996383,0.00005077682,0.00005192072,0.00008799727,0.0001496238,0.00002126169],"domain_scores_gemma":[0.9989448,0.0005829644,0.00008621597,0.00004152371,0.0003022437,0.00004228692],"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":[0.00004718389,0.00006566197,0.0002410309,0.01439897,0.00006745426,0.00007234012,0.00005253428,0.001257446,0.001172101,0.00313386,0.0113258,0.9681656],"study_design_scores_gemma":[0.00001278526,0.0001771625,0.001121371,0.005085287,0.0001811581,0.000704733,0.00009561211,0.001474401,0.001515599,0.003626105,0.9859508,0.00005505936],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003240574,0.9943814,0.002586076,0.0001642429,0.0002410736,0.00001717828,0.00004484216,0.00003220626,0.002209008],"genre_scores_gemma":[0.002345008,0.9928324,0.003085357,0.0001425274,0.0002287196,0.00002765105,0.0001068452,0.0000145545,0.00121691],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004628857,"threshold_uncertainty_score":0.01548511,"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."}}