{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003040757,0.0001597007,0.0003064091,0.00007491568,0.0000728806,0.00006149505,0.0002292994,0.0001138111,0.000002913008],"category_scores_gemma":[0.0001593752,0.0001336287,0.0002095194,0.0001488041,0.0001409381,0.0002124595,0.0000502592,0.0001365153,1.047429e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004863352,"about_ca_system_score_gemma":0.000006891239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002762588,"about_ca_topic_score_gemma":5.999305e-9,"domain_scores_codex":[0.9989828,1.461559e-8,0.0004273806,0.0002335801,0.0001803316,0.0001759076],"domain_scores_gemma":[0.9989438,0.0001074025,0.0003394856,0.00003049127,0.0005305449,0.00004828032],"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":[0.0000405152,0.00003962485,0.0004305721,0.0002783142,0.0001519322,8.688464e-9,0.0003044305,0.00003385634,0.7032785,0.2887005,0.0001684196,0.00657329],"study_design_scores_gemma":[0.004204262,0.001541892,0.003939226,0.000853059,0.0002951519,0.00003001187,0.03348287,0.3091953,0.6362942,0.004502156,0.004774754,0.000887017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984692,0.00005857766,0.000105605,0.0003079692,0.00005664428,0.000481266,0.00002042569,0.00007433001,0.0004259211],"genre_scores_gemma":[0.9601992,0.00001399686,0.03956565,0.00001460397,0.000112066,0.00006728178,0.000001195909,0.00001424336,0.00001171614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3091615,"threshold_uncertainty_score":0.5449221,"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."}}