{"id":"W7010395567","doi":"","title":"An Image Search System for UAVs","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Search engine indexing; Image processing; Set (abstract data type); Image (mathematics); Video tracking; Video processing; Search engine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002241447,0.00008475591,0.0001071096,0.00006073655,0.0001035702,0.0001276406,0.0006891416,0.00003752761,0.00001270075],"category_scores_gemma":[0.00001970914,0.00007590323,0.00004733318,0.0001673396,0.00002766488,0.001056569,0.00008488514,0.00007689545,0.00005343643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006280662,"about_ca_system_score_gemma":0.0000330872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001534627,"about_ca_topic_score_gemma":6.393855e-7,"domain_scores_codex":[0.9991255,0.0000302906,0.000131777,0.0002794235,0.0001701869,0.000262781],"domain_scores_gemma":[0.9991856,0.00004991456,0.00002820143,0.0005177913,0.0001260161,0.00009242808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001236978,0.00005116746,0.00001917511,0.00004787783,0.000003417294,0.000007402973,0.0002063298,0.00000648512,0.2633751,0.0974587,0.002717928,0.636094],"study_design_scores_gemma":[0.0002392022,0.0002273634,0.00006216789,0.00002255717,0.000002532502,0.00001838423,0.00003725885,0.05892063,0.9021749,0.006469331,0.03165825,0.0001674304],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001308501,0.00003194652,0.9872054,0.000603818,0.00005134993,0.0002480963,0.000004267705,0.0006465212,0.009900078],"genre_scores_gemma":[0.411836,0.000007004468,0.5876578,0.0001252527,0.0001353498,0.00002477747,0.00000140063,0.000007703294,0.000204712],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6387997,"threshold_uncertainty_score":0.3095244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02118307406974862,"score_gpt":0.3253880231632571,"score_spread":0.3042049490935085,"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."}}