{"id":"W3014981859","doi":"10.6028/nist.sp.1900-203","title":"Global City Teams Challenge Public Safety SuperCluster progress report 2018-2019","year":2020,"lang":"en","type":"report","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering Laboratory; Partenariat Canadien Contre Le Cancer; George Mason University; U.S. Department of Homeland Security","keywords":"Supercluster (genetic); Business","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009952559,0.001203325,0.0006666931,0.001807504,0.002562078,0.003863453,0.002082495,0.002846948,0.1053023],"category_scores_gemma":[0.009008838,0.0004106553,0.0006109535,0.00118326,0.001403041,0.003071635,0.003974976,0.003551679,0.09381987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003009043,"about_ca_system_score_gemma":0.0222175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03229203,"about_ca_topic_score_gemma":0.0496178,"domain_scores_codex":[0.9945298,0.0006644129,0.00008920484,0.0003096475,0.00348076,0.0009263093],"domain_scores_gemma":[0.9890732,0.001072947,0.0003837536,0.0009194107,0.006533488,0.002017173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000146353,0.0001113479,0.0003319693,0.00007625249,0.000007593128,0.00003077249,0.00006743849,0.0003758284,0.0007430827,0.005709114,0.9821728,0.01022751],"study_design_scores_gemma":[0.0001187109,0.0002852453,0.00155589,0.0001436052,0.00001489267,0.00003041218,0.000415962,0.001266027,0.002584672,0.002722202,0.9908372,0.00002525419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01140283,0.001166173,0.01752176,0.04700283,0.007745576,0.002648024,0.1473718,0.008980475,0.7561606],"genre_scores_gemma":[0.04786833,0.001741291,0.01657574,0.007325275,0.0009942711,0.002881771,0.2196416,0.004206315,0.6987655],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1053023,"threshold_uncertainty_score":0.3522712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03847479344604014,"score_gpt":0.2910291411495524,"score_spread":0.2525543477035122,"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."}}