{"id":"W113453355","doi":"10.2172/883740","title":"ISCR FY2005 Annual Report","year":2006,"lang":"en","type":"report","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Circulatory and Respiratory Health; U.S. Department of Commerce; Lawrence Livermore National Laboratory; U.S. Department of Energy","keywords":"National laboratory; Computer science; National security; Operations research; Data science; Engineering; Political science; Engineering physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002075974,0.001180293,0.0007963899,0.002139514,0.001931137,0.006066037,0.002122141,0.002854502,0.4261716],"category_scores_gemma":[0.00265168,0.0003433876,0.0006581449,0.002009839,0.0003389583,0.002252648,0.001836315,0.00190252,0.3377994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003696641,"about_ca_system_score_gemma":0.008076441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03311716,"about_ca_topic_score_gemma":0.03034587,"domain_scores_codex":[0.9986779,0.00009498681,0.00005053066,0.0001649666,0.0007995637,0.0002120804],"domain_scores_gemma":[0.9981411,0.0000530865,0.00005661185,0.0001245212,0.001238595,0.0003862079],"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":[0.0000313612,0.00002361297,0.00009200942,0.00005347015,0.000002437794,0.00001310425,0.00000870903,0.00002841002,0.00008399915,0.001121091,0.9841779,0.01436398],"study_design_scores_gemma":[0.000004510719,0.000009678253,0.0003733787,0.00004002018,0.000001621805,0.000008500067,0.00001874789,0.00002259655,0.00005370332,0.0001747778,0.9992902,0.000002314405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001016811,0.004163312,0.0008998501,0.01265915,0.02515892,0.0006165361,0.0365022,0.001606756,0.9173765],"genre_scores_gemma":[0.003039627,0.002461453,0.001027334,0.002035494,0.001972682,0.0002629448,0.02562572,0.0004999504,0.9630748],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4261716,"threshold_uncertainty_score":0.8184966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2344150921175553,"score_gpt":0.5204264431820098,"score_spread":0.2860113510644545,"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."}}