{"id":"W23468235","doi":"10.1002/asia.201201166","title":"Real-time Decision Making For Shipboard Damage Control","year":2002,"lang":"en","type":"article","venue":"Chemistry - An Asian Journal","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Petri net; Formalism (music); Computer science; Rotation formalisms in three dimensions; Process architecture; Representation (politics); Stochastic Petri net; Theoretical computer science; Interval (graph theory); Algorithm; Real-time computing; Artificial intelligence; Mathematics","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":[0.002245183,0.0009572802,0.001030807,0.0005890645,0.0005056158,0.002395502,0.0009411178,0.001182677,0.005052776],"category_scores_gemma":[0.005163293,0.0003422329,0.0005363096,0.0006821036,0.0007602148,0.002107713,0.0007794912,0.001296637,0.0006384627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038045,"about_ca_system_score_gemma":0.001229823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003438014,"about_ca_topic_score_gemma":0.003080606,"domain_scores_codex":[0.9989815,0.0004033004,0.00006054288,0.0002763299,0.0001557782,0.0001225844],"domain_scores_gemma":[0.9973246,0.001874606,0.000301551,0.0001202292,0.0002768721,0.0001021036],"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":[0.0008249338,0.0002078682,0.001996306,0.0002464086,0.0001475539,0.0002856,0.0001292078,0.8049192,0.004114795,0.02936423,0.00276982,0.154994],"study_design_scores_gemma":[0.00002212946,0.00006983297,0.0002217929,0.00001207284,0.00001835671,0.0000268725,0.00004186765,0.977773,0.001493894,0.0190962,0.001210677,0.00001322158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05759937,0.001293651,0.9295892,0.001580061,0.0002190404,0.0001836303,0.0003601339,0.0009574956,0.008217449],"genre_scores_gemma":[0.9273735,0.0005663977,0.06844819,0.0001617548,0.00009165044,0.0001518784,0.0002177023,0.00003282039,0.002956108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005052776,"threshold_uncertainty_score":0.01690322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363519150699521,"score_gpt":0.2723836432870487,"score_spread":0.2487484517800535,"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."}}