{"id":"W4404688481","doi":"10.1109/oceans55160.2024.10754346","title":"Facilitating Safe Automated Navigation in Ice with Cooperating Autonomous Vehicles","year":2024,"lang":"en","type":"article","venue":"","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; York University","funders":"","keywords":"Computer science; Remotely operated underwater vehicle; Real-time computing; Mobile robot; Artificial intelligence; Robot","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000347387,0.000446336,0.0002748123,0.0001918723,0.0003144976,0.0004779753,0.0006784801,0.0003070904,0.001102191],"category_scores_gemma":[0.0005853242,0.0002403411,0.0004039723,0.0001246888,0.0004227974,0.0004813867,0.0007520926,0.0002692159,0.0002385592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003914935,"about_ca_system_score_gemma":0.001024411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01542954,"about_ca_topic_score_gemma":0.01193735,"domain_scores_codex":[0.9998766,0.00002901662,0.000005908676,0.00002270274,0.00003523832,0.00003044261],"domain_scores_gemma":[0.9998038,0.00007951624,0.00002509167,0.00003304406,0.0000394061,0.00001900292],"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":[0.00008961603,0.00003943344,0.001793823,0.00003049203,0.00001330619,0.0002032797,0.0002162579,0.9676471,0.01204972,0.002552279,0.0002627444,0.01510208],"study_design_scores_gemma":[0.00002312982,0.00006723755,0.0004921299,0.000006392566,0.000007968676,0.00003482514,0.00006572573,0.9892475,0.006123058,0.001763207,0.002161058,0.00000780678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4329769,0.0000505503,0.5564907,0.00005382068,0.00002423929,0.0001286516,0.000122962,0.002118949,0.008033255],"genre_scores_gemma":[0.8492892,0.00007459758,0.1481737,0.00001818825,0.00000395984,0.00009193958,0.0001770482,0.0001147752,0.00205666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01542954,"threshold_uncertainty_score":0.03067946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184524887458529,"score_gpt":0.3587603246536281,"score_spread":0.3369150757790428,"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."}}