{"id":"W2308411032","doi":"10.2172/1120802","title":"Idaho National Laboratory Quarterly Event Performance Analysis FY 2013 4th Quarter","year":2013,"lang":"en","type":"report","venue":"","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); National laboratory; Operations research; Database; Engineering; Computer science; Geography; Archaeology; Engineering physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01868177,0.0005335289,0.001221748,0.003238007,0.0004950454,0.001318855,0.003361608,0.0006007241,0.01955046],"category_scores_gemma":[0.001691451,0.000336897,0.0007758467,0.006688513,0.0005837847,0.001892996,0.000181437,0.001248638,0.01039413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005128565,"about_ca_system_score_gemma":0.0049266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001127071,"about_ca_topic_score_gemma":0.0004623527,"domain_scores_codex":[0.9743551,0.0004524202,0.002126706,0.001746345,0.02035481,0.0009646444],"domain_scores_gemma":[0.9873549,0.001088991,0.001075388,0.001411638,0.008448325,0.0006207231],"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":[0.000005023715,0.00005311812,0.01421315,0.00001669616,0.0002278087,0.000005149531,0.0002932368,0.0002115463,0.00002376536,0.000104024,0.9708952,0.01395127],"study_design_scores_gemma":[0.0002036363,0.0002238563,0.1129475,0.00004098886,0.0001406703,0.00001154148,0.001455515,0.02199742,0.00003628604,0.001980345,0.8601722,0.0007900415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1868763,0.001929764,0.00457226,0.005315468,0.003900985,0.001377861,0.0006840285,0.0002410282,0.7951023],"genre_scores_gemma":[0.6827695,0.00117948,0.0004448556,0.0004867399,0.001360953,0.0001557496,0.0001243417,0.00003489598,0.3134435],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4958932,"threshold_uncertainty_score":0.9999083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.111937375226477,"score_gpt":0.4407397413878229,"score_spread":0.3288023661613459,"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."}}