{"id":"W2117572508","doi":"10.1145/1815396.1815576","title":"Continuing progress in augmenting urban search and rescue dogs","year":2010,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Search and rescue; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002234037,0.00007001428,0.00008126056,0.00005798196,0.00001993336,0.00005894021,0.00007408535,0.0000479188,0.00008961987],"category_scores_gemma":[0.000008187818,0.00006214157,0.00001134342,0.00007473201,0.00003195989,0.00007755681,0.00003457713,0.000238328,0.00001022097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005402369,"about_ca_system_score_gemma":0.000002392975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009255021,"about_ca_topic_score_gemma":0.0005624888,"domain_scores_codex":[0.9994668,0.000007115637,0.0001214188,0.0001162609,0.00007878306,0.0002096097],"domain_scores_gemma":[0.99981,0.00001263248,0.000002814466,0.0001128088,0.00001431613,0.00004740734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008218674,0.00004273659,0.4897243,0.000214007,0.00002603448,0.0000616839,0.004827496,0.007218871,0.04525403,0.01248336,0.0002846192,0.4398546],"study_design_scores_gemma":[0.0004333097,0.00003184281,0.1011778,0.0001260047,0.000005666615,0.00002492076,0.0003234586,0.823679,0.07036059,0.0000823548,0.003266599,0.0004884843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949557,0.0002695583,0.001982283,0.00002718693,0.0001369376,0.00009846693,3.315874e-7,0.0001003741,0.002429157],"genre_scores_gemma":[0.9967621,0.00001761799,0.002832782,0.000005645767,0.00004784516,0.000007257833,7.264761e-7,0.00001365745,0.0003123543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8164601,"threshold_uncertainty_score":0.253406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009406963764235193,"score_gpt":0.2390268970670489,"score_spread":0.2296199333028137,"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."}}