{"id":"W7004707107","doi":"","title":"Optimizing the Stripping Procedure for LHCb","year":2017,"lang":"en","type":"other","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"Developmental Biology and Gene Regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Stripping (fiber); sort; Process (computing); Software; Large Hadron Collider","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000573593,0.0001961232,0.0001358883,0.00008367955,0.001008356,0.000255265,0.0008266834,0.0002208271,0.0006018463],"category_scores_gemma":[0.0002541614,0.0001613677,0.0000778184,0.00007590516,0.000159187,0.000009772585,0.000568528,0.0001279588,0.0001881087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004869294,"about_ca_system_score_gemma":0.00003866893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000644559,"about_ca_topic_score_gemma":0.00001107727,"domain_scores_codex":[0.9987742,0.000135756,0.0001542583,0.0004667263,0.0001650307,0.0003040054],"domain_scores_gemma":[0.9989909,0.000009299517,0.0002058202,0.000541942,0.0001868266,0.00006522928],"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":[0.0001355896,0.00006079246,0.00009694606,0.0003653746,0.0004131212,0.000001994692,0.0001933221,0.00003561086,0.002740838,0.005254325,0.9875302,0.003171847],"study_design_scores_gemma":[0.0005303147,0.0001487252,0.0003038601,0.0001067732,0.00002440528,0.000008095971,0.00005771224,0.00000146246,0.00338913,0.0003558657,0.9948449,0.0002287484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1543509,0.01632442,0.002124975,0.01445921,0.006189303,0.03313423,0.0004171672,0.002172941,0.7708268],"genre_scores_gemma":[0.2452488,0.0006979879,0.0001551139,0.0002687791,0.0009881322,0.000009539364,0.004570111,0.001465496,0.746596],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09089793,"threshold_uncertainty_score":0.7755561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154186142991764,"score_gpt":0.277968997580573,"score_spread":0.2564271361506554,"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."}}