{"id":"W4410109735","doi":"10.59297/5devxw04","title":"Toward Blackbox Optimization for Maritime Search and Rescue","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ... International ISCRAM Conference","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Search and rescue; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001473152,0.00007063582,0.00009120631,0.00006511375,0.0000453104,0.0001192287,0.0004997962,0.00004322928,0.00001997493],"category_scores_gemma":[0.0000157111,0.00005803715,0.00003471887,0.00008213198,0.00004846629,0.0001365933,0.0001674518,0.00007877707,9.345461e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003434895,"about_ca_system_score_gemma":0.00001736041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003237205,"about_ca_topic_score_gemma":0.000005453125,"domain_scores_codex":[0.9995001,0.000002658265,0.0001841034,0.0001005154,0.0001276998,0.00008493642],"domain_scores_gemma":[0.9994533,0.00002657059,0.00002116746,0.00006681651,0.0004146003,0.00001753607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002101675,0.0001571242,0.01167018,0.002188173,0.0007804863,1.783523e-7,0.004885257,0.0618232,0.2182849,0.6565862,0.005917173,0.037497],"study_design_scores_gemma":[0.0003178382,0.00001593075,0.0009080757,0.0002778063,0.00001581303,0.000002861985,0.0006539249,0.9124103,0.07536434,0.004400095,0.005526501,0.0001065516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6395707,0.0004269584,0.2400419,0.01875787,0.0006534065,0.001446259,0.00008444659,0.0003139751,0.09870452],"genre_scores_gemma":[0.9923216,0.00009832941,0.006153687,0.00006151799,0.00002400561,0.00004210158,0.00000370502,0.000007774872,0.001287258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8505871,"threshold_uncertainty_score":0.2366686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02939500964078797,"score_gpt":0.2499471906693985,"score_spread":0.2205521810286105,"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."}}