{"id":"W1542502468","doi":"10.1109/oceans.1988.23728","title":"Results of a Canadian shipborne radar search and rescue detection experiment","year":2003,"lang":"en","type":"article","venue":"","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nordion (Canada)","funders":"","keywords":"Radar; Search and rescue; Transponder (aeronautics); Remote sensing; Radar imaging; Radar lock-on; Coast guard; Radar systems; Guard (computer science); Computer science; Engineering; Geology; Meteorology; Marine engineering; Radar engineering details; Telecommunications; Geography; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001623921,0.0000422671,0.00005325888,0.000134935,0.00002555136,0.000006899873,0.0000193268,0.00003844947,0.0001324953],"category_scores_gemma":[0.00002036268,0.00004210669,0.000009965795,0.0001689092,0.00001142881,0.00002834725,0.000002594194,0.00005476666,0.000005193709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004258209,"about_ca_system_score_gemma":0.00002266912,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06335955,"about_ca_topic_score_gemma":0.1655441,"domain_scores_codex":[0.9996362,0.00002059972,0.0001111616,0.00006450422,0.00006378764,0.0001037348],"domain_scores_gemma":[0.9997795,0.00001099917,0.000002306054,0.00008240742,0.00001971693,0.0001050324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002662974,0.0001178585,0.0008282107,0.000503575,0.0002206775,0.00004699338,0.0103725,0.02509219,0.6627606,0.05457623,0.00845351,0.2367614],"study_design_scores_gemma":[0.0008467703,0.00004207704,0.003657858,0.0000134829,0.000002964492,0.000007862071,0.0004288593,0.01315631,0.9357274,0.00003857518,0.04594717,0.0001307213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6840371,0.0002930145,0.001308141,0.0001564302,0.0001397092,0.000211673,0.00001976107,0.0001037047,0.3137304],"genre_scores_gemma":[0.9983749,0.00004131336,0.001025333,0.00001461016,0.000006821337,0.000002604969,0.000002929516,0.00000600118,0.0005254716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3143378,"threshold_uncertainty_score":0.9428776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511097350158278,"score_gpt":0.2190796859155453,"score_spread":0.2039687124139626,"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."}}