{"id":"W7096413328","doi":"","title":"2014 Canadian Conference on Computer and Robot Vision Asymmetric Rendezvous Search at Sea","year":2014,"lang":"en","type":"article","venue":"","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drifter; Rendezvous; Position (finance); Underwater; Trajectory; Robot; Field (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005447048,0.0001224022,0.0001321661,0.0004220642,0.0002563211,0.0003540305,0.0004827907,0.00007109089,0.0001675026],"category_scores_gemma":[0.00002127437,0.0001014669,0.00002351471,0.0004227499,0.00005124536,0.0002301185,0.0002999641,0.0001501878,0.0005338456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009793374,"about_ca_system_score_gemma":0.0001202146,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01095897,"about_ca_topic_score_gemma":0.01621829,"domain_scores_codex":[0.9984756,0.0001727764,0.0001436276,0.0004435879,0.0003524873,0.0004119456],"domain_scores_gemma":[0.9987294,0.000129283,0.00002423325,0.0004311769,0.0001470049,0.0005388879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009745787,0.00007648463,0.003666464,0.00002800681,0.00001590054,0.00001603354,0.0004208379,0.01595169,0.00008377784,0.4074661,0.07694027,0.4953246],"study_design_scores_gemma":[0.0002987173,0.000316676,0.007308782,0.00001154525,7.844743e-7,0.000009873553,0.000002281563,0.9805464,0.0001363101,0.0003738533,0.01084215,0.0001525877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001107906,0.00002047733,0.9231299,0.007094043,0.0001834208,0.0001984281,0.000002237156,0.0001189743,0.06814458],"genre_scores_gemma":[0.908518,0.00007909012,0.08404037,0.002848852,0.00005597804,0.000004648129,0.00001035891,0.00001111289,0.004431573],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9645947,"threshold_uncertainty_score":0.9956272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02505308292650837,"score_gpt":0.2639916726582576,"score_spread":0.2389385897317493,"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."}}