{"id":"W4251700703","doi":"10.4095/219668","title":"Synthetic Aperture Radar and Search and Rescue","year":2000,"lang":"en","type":"report","venue":"","topic":"Advanced SAR Imaging Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Search and rescue; Synthetic aperture radar; Remote sensing; Computer science; Radar; Geology; Artificial intelligence; Telecommunications","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":[0.0004701159,0.0004196105,0.000232522,0.0007715439,0.0003372372,0.0008719188,0.0002619397,0.0004986706,0.00652545],"category_scores_gemma":[0.0007046591,0.0001208887,0.00006910312,0.001398121,0.0006293734,0.0007235642,0.0004940663,0.0005251792,0.002277698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116289,"about_ca_system_score_gemma":0.002125636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03844687,"about_ca_topic_score_gemma":0.04213103,"domain_scores_codex":[0.9994712,0.00007565897,0.00001266354,0.00002320459,0.0003701012,0.00004716793],"domain_scores_gemma":[0.9995767,0.00006321583,0.00003633487,0.00002990299,0.0002463919,0.00004740701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001238178,0.00009137845,0.003363475,0.0003136093,0.00002202599,0.0001876488,0.0002779672,0.007830257,0.004426952,0.1081844,0.2408865,0.634292],"study_design_scores_gemma":[0.00001625318,0.00005239622,0.003992779,0.000132179,0.000005031478,0.0002242369,0.0001612672,0.003112542,0.001845196,0.01674811,0.9736941,0.00001600018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02422222,0.3062806,0.0293554,0.02217057,0.002660989,0.0001953357,0.001368822,0.000442248,0.6133039],"genre_scores_gemma":[0.2458576,0.3097822,0.02567543,0.001956871,0.002274643,0.00008936977,0.004179828,0.0001245187,0.4100596],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03844687,"threshold_uncertainty_score":0.07644618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664817114985843,"score_gpt":0.2742048327628084,"score_spread":0.2575566616129499,"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."}}