{"id":"W1492885061","doi":"10.1007/978-0-387-37731-5_68","title":"Detection of Avalanche Victims Using Ultra-wideband Short-Pulse Radar","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Department of National Defence","funders":"","keywords":"Radar; Snow; Imaging phantom; Impulse (physics); Radar imaging; Remote sensing; Finite-difference time-domain method; Pulse (music); Inverse synthetic aperture radar; Geology; Computer science; Acoustics; Physics; Optics; Telecommunications; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0001603159,0.0004611706,0.0004817654,0.0005370445,0.0001447522,0.0008445382,0.0009657383,0.0007677858,0.002770655],"category_scores_gemma":[0.0002930949,0.0002993425,0.0002728884,0.0004593033,0.0002245088,0.001143758,0.0004123142,0.0005393228,0.001780813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001364061,"about_ca_system_score_gemma":0.0001364924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001438695,"about_ca_topic_score_gemma":0.0004101688,"domain_scores_codex":[0.9998543,0.000009279272,0.000003986918,0.00002075286,0.00009782371,0.00001382379],"domain_scores_gemma":[0.9998165,0.00007897063,0.00001990042,0.00002148347,0.00005412298,0.00000913496],"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":[0.00009292868,0.00007955923,0.001247979,0.0003764048,0.00004615302,0.0003214543,0.0001784244,0.002821424,0.7031398,0.006523014,0.005608394,0.2795644],"study_design_scores_gemma":[0.00001858052,0.0004187234,0.005288147,0.0001622956,0.00009164877,0.006151685,0.0003498889,0.05087427,0.8466287,0.01218085,0.07776365,0.00007154761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1395764,0.02090441,0.760721,0.000676775,0.0005520906,0.0001455359,0.0003641927,0.002175137,0.07488449],"genre_scores_gemma":[0.5094064,0.01681938,0.3095974,0.0005015482,0.0002547338,0.00008079253,0.0009720248,0.0003387349,0.1620289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002770655,"threshold_uncertainty_score":0.009268761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306230411771477,"score_gpt":0.230102226277621,"score_spread":0.2070399221599062,"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."}}