{"id":"W2007638796","doi":"10.1117/12.817830","title":"C2SM: a mobile system for detecting and 3D mapping of chemical, radiological, and nuclear contamination","year":2009,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Canadian Mounted Police; Golder Associates (Canada)","funders":"","keywords":"Computer science; Situation awareness; Mobile robot; Robot; Computer vision; Radiological weapon; Artificial intelligence; Image resolution; Remote sensing; Detector; Real-time computing; Geology; Aerospace engineering","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":[0.0003790361,0.0009258364,0.0005664188,0.001047313,0.0005179079,0.0006327098,0.001172938,0.001072852,0.01279653],"category_scores_gemma":[0.0004642443,0.0003278899,0.0003651993,0.0005547516,0.0004447312,0.0006897101,0.001248192,0.000407878,0.003520242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005148091,"about_ca_system_score_gemma":0.0009389562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005336119,"about_ca_topic_score_gemma":0.01223911,"domain_scores_codex":[0.9996973,0.00002585105,0.000006079129,0.00006804948,0.0001651498,0.00003751622],"domain_scores_gemma":[0.9997572,0.00002636317,0.00002194104,0.00006498889,0.0000701424,0.00005930396],"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":[0.001883414,0.0004073874,0.009270275,0.0005957448,0.000100705,0.0009204533,0.0008126691,0.01286862,0.3718394,0.003946466,0.07972453,0.5176305],"study_design_scores_gemma":[0.0007781917,0.003988326,0.03940213,0.0001489247,0.0001553095,0.004165237,0.0007518062,0.4179816,0.2050396,0.003097262,0.3240162,0.0004754755],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2293677,0.0006709895,0.6464347,0.0006849234,0.0004148101,0.001275358,0.005910068,0.07168227,0.04355922],"genre_scores_gemma":[0.6142664,0.0002873529,0.3432331,0.0003737338,0.00008798338,0.0005186746,0.005089383,0.001173794,0.03496959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01279653,"threshold_uncertainty_score":0.04280865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008606983267462277,"score_gpt":0.2110066124261042,"score_spread":0.202399629158642,"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."}}