{"id":"W4401863109","doi":"10.23977/jeis.2024.090305","title":"Research on undersea search and rescue program based on localization and equipment selection","year":2024,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Search and rescue; Selection (genetic algorithm); Computer science; 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":[0.0003111401,0.0005641128,0.0006047434,0.0006819905,0.0005182136,0.0007255905,0.0007006854,0.0004642371,0.002000876],"category_scores_gemma":[0.0007234773,0.0001980229,0.0004800791,0.0008914478,0.0002768217,0.001342594,0.0004585672,0.0003269802,0.0002405422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005977508,"about_ca_system_score_gemma":0.001416813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008312586,"about_ca_topic_score_gemma":0.004066496,"domain_scores_codex":[0.9995664,0.00008658703,0.00001956719,0.000127208,0.0001342325,0.00006593926],"domain_scores_gemma":[0.999801,0.00005072071,0.00003466507,0.00001433157,0.00007640077,0.00002293075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001907446,0.0001822206,0.007740262,0.0005527763,0.0001030425,0.000257995,0.0002873863,0.4796021,0.02689909,0.02193951,0.004617904,0.4576271],"study_design_scores_gemma":[0.00002947883,0.0002398122,0.003510061,0.00003347513,0.00008024525,0.000161254,0.0003217205,0.9780028,0.006725532,0.00423624,0.006632949,0.00002641427],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.085752,0.00297869,0.8982701,0.0006820239,0.0001127004,0.0001092388,0.0000751635,0.000475469,0.01154456],"genre_scores_gemma":[0.8995428,0.003846968,0.08616249,0.0001749688,0.00007395217,0.0001644543,0.0001830124,0.00005028198,0.009801063],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008312586,"threshold_uncertainty_score":0.01652837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02778418553528232,"score_gpt":0.3298464283251401,"score_spread":0.3020622427898578,"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."}}