{"id":"W7009190295","doi":"","title":"Early Results from MKII Detector at PEP","year":2020,"lang":"en","type":"other","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"U.S. Department of Energy","keywords":"Detector; Calibration; Noise (video); Particle detector","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006200058,0.002314563,0.001748968,0.001580392,0.001544102,0.003281768,0.001456577,0.001391363,0.02353095],"category_scores_gemma":[0.002915147,0.001409576,0.001194696,0.002277341,0.0005307786,0.002217256,0.003158648,0.001362892,0.01819391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001920281,"about_ca_system_score_gemma":0.0006993482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001487132,"about_ca_topic_score_gemma":0.001841364,"domain_scores_codex":[0.9959722,0.001066794,0.0001519982,0.0007948874,0.001227287,0.000786757],"domain_scores_gemma":[0.996412,0.0006482215,0.0003222868,0.0007339625,0.001394273,0.0004893006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.04866514,0.001693063,0.109445,0.007101957,0.001945267,0.002898265,0.002474806,0.02029394,0.1734443,0.07548589,0.4258189,0.1307335],"study_design_scores_gemma":[0.001861798,0.003400792,0.1794119,0.0008722378,0.001404867,0.002275747,0.0004372071,0.0192134,0.2893667,0.0144357,0.4866363,0.0006832885],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2442104,0.008421848,0.07521864,0.004231179,0.001235722,0.001157024,0.2166912,0.01157122,0.4372627],"genre_scores_gemma":[0.7060875,0.002185543,0.04910216,0.002825963,0.0008328741,0.0008680577,0.1723367,0.003243444,0.06251775],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02353095,"threshold_uncertainty_score":0.0787189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400548832041214,"score_gpt":0.2241272986696885,"score_spread":0.2101218103492764,"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."}}