{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006377134,0.0005236746,0.000362864,0.0003266095,0.0008637042,0.0006039381,0.0004256571,0.0004223333,0.00351248],"category_scores_gemma":[0.00176483,0.0001401896,0.000243984,0.0004033704,0.0004248751,0.0001710056,0.0002873336,0.0002971131,0.0008170405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004671494,"about_ca_system_score_gemma":0.003039578,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8620184,"about_ca_topic_score_gemma":0.9106274,"domain_scores_codex":[0.9994377,0.00004690546,0.00001413605,0.00009171162,0.0002953871,0.0001140845],"domain_scores_gemma":[0.9984632,0.000288082,0.00005316164,0.00007887276,0.0009692828,0.000147503],"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":[0.01154618,0.002482753,0.1461135,0.0008398057,0.000505551,0.0007653623,0.00199026,0.05042315,0.5576551,0.002686468,0.0383872,0.1866047],"study_design_scores_gemma":[0.0005323701,0.003117945,0.7361678,0.00007067715,0.000498465,0.0002064177,0.001914189,0.04053395,0.167237,0.0006255922,0.04870889,0.00038675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706538,0.0001788009,0.002233559,0.0001928248,0.0000214058,0.0001456607,0.004726705,0.0002265534,0.02162066],"genre_scores_gemma":[0.9557984,0.0003003092,0.004128519,0.0002200768,0.0000045742,0.00008829199,0.008473397,0.0001021683,0.03088425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1379816,"threshold_uncertainty_score":0.2775884,"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."}}