{"id":"W4205608563","doi":"10.2172/1164858","title":"Idaho National Laboratory Quarterly Performance Analysis - 2nd Quarter FY2014","year":2014,"lang":"en","type":"report","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); National laboratory; Operations research; Engineering; Geography; Engineering physics; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004123751,0.001078106,0.0005364377,0.00395627,0.001461689,0.003892914,0.001223014,0.000587291,0.06340909],"category_scores_gemma":[0.009261763,0.0003616888,0.0002892378,0.003383486,0.0003390308,0.001117717,0.001090369,0.0008001313,0.04362701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009111066,"about_ca_system_score_gemma":0.01496153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1863059,"about_ca_topic_score_gemma":0.1457486,"domain_scores_codex":[0.9950389,0.0002709623,0.0001629519,0.0002147683,0.004022533,0.0002898334],"domain_scores_gemma":[0.9881495,0.0005095245,0.0005834144,0.0005094152,0.009865552,0.0003825023],"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":[0.00005938204,0.00006978921,0.00295344,0.00005943592,0.000006512639,0.00000779611,0.00002534482,0.000219321,0.0001027853,0.0006608461,0.9794219,0.01641342],"study_design_scores_gemma":[0.00004451609,0.00008513471,0.03928804,0.0002035998,0.00001851611,0.00002351343,0.0005046954,0.001396616,0.001988669,0.0006678277,0.9557543,0.00002453887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01657235,0.0009344027,0.00192257,0.01026953,0.00335703,0.000977431,0.528132,0.002869961,0.4349647],"genre_scores_gemma":[0.04551975,0.002637544,0.004841988,0.001550254,0.0005512904,0.001104331,0.4311294,0.001043992,0.5116214],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1863059,"threshold_uncertainty_score":0.3704429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1298407723156227,"score_gpt":0.4074225125332232,"score_spread":0.2775817402176005,"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."}}