{"id":"W3135798626","doi":"10.82308/50436","title":"Design and testing of tuning algorithms for the E and B EXperiment (EBEX)","year":2008,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Algorithm; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.003320763,0.0008073843,0.0005523686,0.0006780118,0.0005587225,0.001305662,0.00193975,0.001047832,0.003379236],"category_scores_gemma":[0.005055691,0.000462806,0.0003455176,0.0003663015,0.0005772001,0.001035727,0.001067873,0.001009305,0.001374077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007491919,"about_ca_system_score_gemma":0.0009989614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001023915,"about_ca_topic_score_gemma":0.000693209,"domain_scores_codex":[0.997813,0.0004780377,0.0001354171,0.0005818831,0.0007307447,0.0002610334],"domain_scores_gemma":[0.9977772,0.0008128108,0.0003451755,0.0003323821,0.0005570771,0.0001753252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004283375,0.001158834,0.02869532,0.0005690404,0.0003063291,0.0005082189,0.0004142823,0.1332954,0.2371521,0.0211411,0.008056367,0.5644197],"study_design_scores_gemma":[0.0005222595,0.001782081,0.009329129,0.00007307623,0.00007952126,0.0004308778,0.0001373531,0.6957839,0.2634594,0.006527136,0.02176279,0.0001125484],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08850433,0.0002474844,0.8915465,0.0002384537,0.0001277549,0.001349698,0.0002923276,0.0110214,0.006671944],"genre_scores_gemma":[0.2806632,0.00009018881,0.7131354,0.0002813376,0.00004362535,0.001197772,0.0005101953,0.0006115178,0.003466774],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003379236,"threshold_uncertainty_score":0.01756209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09882827129003263,"score_gpt":0.2579000421546629,"score_spread":0.1590717708646303,"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."}}