{"id":"W2787379802","doi":"10.18429/jacow-linac2016-thprc022","title":"The Cryogenic Performance of the ARIEL E-Linac Cryomodules","year":2017,"lang":"en","type":"article","venue":"JACOW","topic":"Superconducting Materials and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"","keywords":"Linear particle accelerator; Computer science; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008951272,0.0003543328,0.0004251398,0.0003769572,0.0008221799,0.0007731727,0.0007514435,0.0004970476,0.003190144],"category_scores_gemma":[0.001372117,0.0002523159,0.000234327,0.0003700633,0.0005228203,0.0006895665,0.0005365356,0.0005071585,0.0009242169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009201957,"about_ca_system_score_gemma":0.0007179463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003248421,"about_ca_topic_score_gemma":0.002114923,"domain_scores_codex":[0.9995158,0.00005769073,0.00001105065,0.00007498801,0.0002164245,0.0001240382],"domain_scores_gemma":[0.9993266,0.0001621117,0.00005973315,0.00008152127,0.0003013715,0.00006877925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003994197,0.0003535131,0.02431876,0.000423243,0.0001156639,0.000856469,0.001015647,0.1274363,0.7891241,0.00690864,0.007830946,0.03762258],"study_design_scores_gemma":[0.0002494249,0.003703119,0.05452529,0.00010886,0.0001081938,0.0007342878,0.0007050858,0.1482577,0.7664456,0.001098439,0.02387222,0.0001918257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835939,0.0004992727,0.005283655,0.0001566326,0.00004323573,0.00002322686,0.0006464054,0.0003988702,0.009354697],"genre_scores_gemma":[0.9964469,0.0001000393,0.001308521,0.00002751586,0.00000888451,0.00001623462,0.0003873991,0.00005712118,0.001647436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003248421,"threshold_uncertainty_score":0.01067203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125346026564317,"score_gpt":0.2083701273021402,"score_spread":0.1958355246457085,"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."}}