{"id":"W4403903813","doi":"10.1016/j.ifacol.2024.10.076","title":"A POMDP model-based online risk mitigation method for autonomous inland vessels","year":2024,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Partially observable Markov decision process; Risk analysis (engineering); Risk model; Business; Machine learning; Markov model; Markov chain","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":[0.0007471991,0.001006403,0.001088534,0.000471733,0.0005991015,0.0008607329,0.001146283,0.0008187403,0.002695065],"category_scores_gemma":[0.001313099,0.000591888,0.001004787,0.000328771,0.0004664053,0.0008534441,0.001274833,0.001311535,0.0002524232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009464871,"about_ca_system_score_gemma":0.002336986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01667994,"about_ca_topic_score_gemma":0.01291506,"domain_scores_codex":[0.9995521,0.00008674638,0.00002231038,0.000137847,0.0001239723,0.00007712684],"domain_scores_gemma":[0.9995133,0.000242406,0.00007088427,0.00002564681,0.0001062963,0.00004153126],"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":[0.00007011137,0.00004618399,0.0005002142,0.00008356318,0.00004312888,0.0001426534,0.00009274528,0.9548261,0.002149624,0.005271191,0.000790026,0.03598445],"study_design_scores_gemma":[0.00001109984,0.00001895977,0.00005950248,0.000004127699,0.000009369095,0.00001069119,0.00001014201,0.9979389,0.000298498,0.001322206,0.0003118013,0.000004540512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006991886,0.00007594171,0.9906784,0.00009355013,0.00002715232,0.00004922811,0.00005708045,0.000353138,0.001673733],"genre_scores_gemma":[0.7223533,0.0002107918,0.2734841,0.0001166904,0.00003372029,0.0003220105,0.0002151835,0.0000885287,0.003175567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01667994,"threshold_uncertainty_score":0.03316569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131863574326334,"score_gpt":0.2811634445978666,"score_spread":0.2698448088546032,"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."}}