{"id":"W6999360923","doi":"","title":"CHU 3.330 MHz 17 May 2014 0358 UTC","year":2014,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noise (video); Rogowski coil; Measure (data warehouse); Signal processing","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002931989,0.000832009,0.000640389,0.00195098,0.003442822,0.002243114,0.001253918,0.0009401879,0.5594755],"category_scores_gemma":[0.0009930213,0.0005319554,0.000201579,0.002686454,0.0005819674,0.00079618,0.001009682,0.0008695754,0.310319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006011172,"about_ca_system_score_gemma":0.005457695,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.582588,"about_ca_topic_score_gemma":0.8214615,"domain_scores_codex":[0.9995511,0.00002386354,0.00001007753,0.00006193168,0.0002127608,0.0001401542],"domain_scores_gemma":[0.9989653,0.00004396102,0.00003997341,0.0001108342,0.0007098693,0.0001300587],"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":[0.000093972,0.000008190941,0.0008642589,0.00009553181,0.00000360817,0.00007674132,0.0002212002,0.0001308206,0.001188112,0.001130274,0.9685041,0.02768318],"study_design_scores_gemma":[0.00001037427,0.00001080532,0.003514301,0.0000799573,0.000004096616,0.00003760702,0.0001510634,0.0001407047,0.0006315978,0.0001438462,0.9952615,0.00001426701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002863448,0.0004489071,0.002087922,0.0005749445,0.0004828425,0.0001420251,0.06923413,0.00430793,0.9198579],"genre_scores_gemma":[0.01064187,0.0002610084,0.0009541949,0.0001281406,0.0001083694,0.00005710582,0.02203334,0.001063032,0.964753],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.582588,"threshold_uncertainty_score":0.8397404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006030671650655833,"score_gpt":0.1934859946221594,"score_spread":0.1874553229715036,"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."}}