{"id":"W3017784965","doi":"10.1117/12.2558183","title":"Biological Detection, Identification and Monitoring (Bio DIM) in contested urban environment: leveraging standoff, point and UAS mounted particle counter/collector payload","year":2020,"lang":"en","type":"article","venue":"","topic":"Bacillus and Francisella bacterial research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Payload (computing); Identification (biology); Event (particle physics); Situation awareness; Software deployment; Computer science; Suite; Global Positioning System; Geospatial analysis; Real-time computing; Remote sensing; Systems engineering; Computer security; Engineering; Telecommunications; Aerospace engineering; Operating system; Geography; Ecology","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":[0.0003812496,0.0004456675,0.0002450639,0.0004029874,0.000355288,0.0006912338,0.0005204595,0.0004052584,0.000709498],"category_scores_gemma":[0.0004302727,0.0001414323,0.0001980459,0.0002195515,0.0004095848,0.0007176378,0.001427327,0.0004060988,0.0002955164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002911013,"about_ca_system_score_gemma":0.0005730065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003544598,"about_ca_topic_score_gemma":0.006585431,"domain_scores_codex":[0.9997023,0.00002631422,0.000007826763,0.00005689388,0.0001011407,0.0001054289],"domain_scores_gemma":[0.9997851,0.00002825407,0.00002943761,0.00003264845,0.00004689613,0.00007775254],"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":[0.001025926,0.0007983235,0.0428451,0.0003907231,0.00009066863,0.005422538,0.001198418,0.0428643,0.6302484,0.005295753,0.006335283,0.2634845],"study_design_scores_gemma":[0.0001119664,0.004576281,0.05113931,0.00007939131,0.000140057,0.002581621,0.00246843,0.3585833,0.5340421,0.002449377,0.04362537,0.0002027825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474639,0.0003909162,0.04228749,0.0003095559,0.0001230545,0.0001447341,0.0001532173,0.001130312,0.007996983],"genre_scores_gemma":[0.9793692,0.0002287222,0.01727837,0.0001245343,0.00001434058,0.00004306687,0.0001704384,0.00002474679,0.002746398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003544598,"threshold_uncertainty_score":0.007047951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02791209285860946,"score_gpt":0.2448394848521113,"score_spread":0.2169273919935018,"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."}}