{"id":"W4413925747","doi":"10.1109/icra55743.2025.11128628","title":"Diver to Robot Communication Underwater","year":2025,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Underwater; Computer science; Robot; Underwater acoustic communication; Remotely operated underwater vehicle; Marine engineering; Mobile robot; Human–computer interaction; Artificial intelligence; Engineering; Geology; Oceanography","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":[0.000351667,0.0005480155,0.0004401321,0.0002414901,0.000863993,0.0006566822,0.0007589763,0.0007958133,0.02720558],"category_scores_gemma":[0.001358257,0.0001632571,0.0002398835,0.0002293142,0.0005427964,0.001091522,0.003062017,0.0006885589,0.009193403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003003923,"about_ca_system_score_gemma":0.0009780495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001978372,"about_ca_topic_score_gemma":0.002178958,"domain_scores_codex":[0.9996085,0.00006455668,0.00001759732,0.00007025641,0.000176189,0.00006286829],"domain_scores_gemma":[0.9996589,0.0000872451,0.00001846561,0.00007328532,0.0001227325,0.0000393108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006201201,0.0001857839,0.004549428,0.0005870544,0.00004898315,0.002462478,0.002902847,0.04611149,0.2281348,0.01633252,0.04720751,0.650857],"study_design_scores_gemma":[0.00007517997,0.001278133,0.01035673,0.0002506384,0.00004797648,0.002184813,0.003155344,0.3888821,0.2297122,0.02629522,0.3375755,0.0001862134],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1514476,0.0005631205,0.6541178,0.001712803,0.0008011876,0.0007329096,0.0009746744,0.01723362,0.1724164],"genre_scores_gemma":[0.7538838,0.0003762796,0.1470979,0.0006032188,0.0001339705,0.0004960348,0.001080989,0.000677834,0.09564994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02720558,"threshold_uncertainty_score":0.09101176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101734268186178,"score_gpt":0.2270450332542768,"score_spread":0.216871606435659,"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."}}