{"id":"W2558248002","doi":"10.18429/jacow-srf2015-mopb089","title":"1.3 GHz Cavity Test Program for ARIEL","year":2015,"lang":"en","type":"article","venue":"JACOW","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; TRIUMF","funders":"","keywords":"Test (biology); Computer science; Remote sensing; Geology","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":[0.00006489392,0.00007293813,0.00008882639,0.00001500617,0.00001627789,0.00003575052,0.00007206963,0.00005524498,0.00001325446],"category_scores_gemma":[0.0001127611,0.00006296754,0.00003335017,0.00006053585,0.00001626154,0.00007227922,0.000009959822,0.00005963358,0.00005242532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002471095,"about_ca_system_score_gemma":0.00001125079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001216637,"about_ca_topic_score_gemma":0.00002445599,"domain_scores_codex":[0.9996035,0.000002240926,0.00007796861,0.00008478995,0.00006385105,0.0001676646],"domain_scores_gemma":[0.9996582,0.00006859679,0.000007501566,0.000110505,0.00003737704,0.000117788],"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":[0.00007019762,0.001020247,0.04840827,0.0009961154,0.0002445926,0.00004386744,0.001594653,0.008250714,0.04381634,0.005551497,0.5899118,0.3000917],"study_design_scores_gemma":[0.001047877,0.0003342829,0.00511299,0.00002800247,0.00004203264,0.000005387388,0.0001859799,0.1641557,0.01673217,0.002021435,0.8098987,0.0004354257],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97457,0.0004729782,0.0007198365,0.0002174857,0.0009823749,0.0005502487,0.00003820262,0.000920571,0.0215283],"genre_scores_gemma":[0.9906215,0.000004423929,0.008502128,0.00008860476,0.0002409233,0.00009373588,0.00001344178,0.00002307906,0.0004121824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2996563,"threshold_uncertainty_score":0.2567742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03087600918412248,"score_gpt":0.265730594014865,"score_spread":0.2348545848307425,"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."}}