{"id":"W7064264084","doi":"","title":"APS Customers Save $6 Million in First Quarter of EIM Participation – MilTech","year":2017,"lang":"en","type":"other","venue":"","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Government (linguistics); Payment; Work (physics); Data collection","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005987935,0.0001342106,0.0002024242,0.0001325726,0.0000289562,0.00001246327,0.000124765,0.00007275537,0.003281485],"category_scores_gemma":[0.000001436572,0.000119291,0.00004626178,0.00006084551,0.00003243548,0.00005209885,0.00001953871,0.00008061415,0.0001982279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001214188,"about_ca_system_score_gemma":0.00001881237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000871123,"about_ca_topic_score_gemma":0.0006731667,"domain_scores_codex":[0.9994019,0.00001048976,0.0001606744,0.0001473525,0.0001026273,0.0001769547],"domain_scores_gemma":[0.9995272,0.00001014003,0.0001805378,0.0002376448,0.00001205466,0.00003248884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004536859,0.0002174625,0.4919728,0.0001854913,0.000181158,0.000001884658,0.0009496461,0.00002817919,0.0006661778,0.001043149,0.4673184,0.03739021],"study_design_scores_gemma":[0.001255931,0.000051744,0.04566754,0.0005300005,0.00003738392,9.200344e-8,0.00007977706,0.000965715,0.01934258,0.0001226838,0.931361,0.0005855483],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0491708,0.00005413028,0.0001619658,0.00003316837,0.0002280442,0.0002247575,0.00002448932,0.00002691358,0.9500757],"genre_scores_gemma":[0.8796982,0.00001283252,0.0001088293,0.000004471441,0.0001141545,0.00003515679,0.00003870533,0.00004598812,0.1199417],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8305274,"threshold_uncertainty_score":0.9976296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590762168337857,"score_gpt":0.265886317992673,"score_spread":0.2499786963092944,"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."}}