{"id":"W2135519809","doi":"10.1109/igarss.2001.977886","title":"Use of an adapted marine radar for the short-range detection and tracking of small birds in flight","year":2002,"lang":"en","type":"article","venue":"","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Radar; Songbird; Tracking (education); Radar tracker; Position (finance); Computer science; Remote sensing; Low probability of intercept radar; Range (aeronautics); Identification (biology); 3D radar; Point (geometry); Antenna (radio); Fire-control radar; Tracking system; Bistatic radar; Radar imaging; Artificial intelligence; Telecommunications; Geography; Geology; Engineering; Aerospace engineering; Kalman filter; Mathematics","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":[0.0003225915,0.0002896509,0.0003220596,0.0003396102,0.0001552581,0.0002815172,0.0007584878,0.0004213146,0.0006495546],"category_scores_gemma":[0.0008045922,0.0001888765,0.0002351726,0.0002672353,0.0002373081,0.0002361171,0.0004218141,0.0003960576,0.0003262376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002652624,"about_ca_system_score_gemma":0.0001948111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002787745,"about_ca_topic_score_gemma":0.004553098,"domain_scores_codex":[0.9996725,0.00005949788,0.00001599492,0.00009953231,0.0001185635,0.00003392677],"domain_scores_gemma":[0.9995632,0.00008548525,0.00005908517,0.0001012307,0.0001372381,0.00005372081],"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":[0.0001193174,0.00005084275,0.003098927,0.00005768381,0.00002317495,0.0000998922,0.00005300633,0.0006725131,0.9525603,0.0001667515,0.0001707534,0.04292683],"study_design_scores_gemma":[0.0002401689,0.002891543,0.1021143,0.0000295307,0.0003636933,0.004224501,0.0001806618,0.0446073,0.8325115,0.0003470551,0.01235925,0.0001303444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8372589,0.0007523374,0.1575316,0.0001584261,0.0001482076,0.0002554402,0.0002128082,0.0007785024,0.002903718],"genre_scores_gemma":[0.5615697,0.0004199891,0.4341199,0.0002424619,0.00004282079,0.0001891453,0.000401156,0.00003474775,0.002980023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002787745,"threshold_uncertainty_score":0.005543113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1023197700846398,"score_gpt":0.2848952834858473,"score_spread":0.1825755134012075,"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."}}