{"id":"W2298411169","doi":"10.1088/1742-6596/664/8/082030","title":"The Database Driven ATLAS Trigger Configuration System","year":2015,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Atlas (anatomy); Database; Relational database; Java; Operating system; Interface (matter); Software; Database design; Graphical user interface; Database server; User interface","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":[0.000260553,0.00009936542,0.0001581821,0.00001585951,0.0001494338,0.0001541461,0.0001974327,0.00001407952,0.00002069458],"category_scores_gemma":[0.000009085243,0.00006361352,0.0000559315,0.0000961697,0.00007028752,0.0007646619,0.00002659554,0.000145643,0.00004531355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002655498,"about_ca_system_score_gemma":0.0003253884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009903866,"about_ca_topic_score_gemma":0.00000251909,"domain_scores_codex":[0.9991869,0.00004742974,0.0002983058,0.00006429772,0.0002527707,0.0001502861],"domain_scores_gemma":[0.9989141,0.00004217891,0.0003368038,0.0001325611,0.0004786088,0.00009580354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007990667,0.0001628831,0.03708943,0.00006568396,0.0005042175,0.00001780127,0.006725374,0.0004238661,0.06278866,0.7024803,0.01121124,0.1777315],"study_design_scores_gemma":[0.001976704,0.0003483853,0.003089177,0.0002275931,0.00009448073,0.00002163123,0.0107232,0.003323564,0.9366247,0.009015002,0.03413072,0.0004248591],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693038,0.0000681072,0.0205484,0.0004408163,0.0009297478,0.0001271252,0.00001906713,0.00001723751,0.008545721],"genre_scores_gemma":[0.9988658,0.000007619189,0.000143077,0.000005339674,0.0005756879,0.000004128027,0.000007897288,0.000006032898,0.0003843958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.873836,"threshold_uncertainty_score":0.2594084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03693383854813581,"score_gpt":0.2561418317407055,"score_spread":0.2192079931925697,"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."}}