{"id":"W3175819776","doi":"10.18429/jacow-ipac2017-tupab022","title":"TRIUMF ARIEL e-Linac Ready for 30 MeV","year":2017,"lang":"en","type":"article","venue":"JACOW","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"","keywords":"Linear particle accelerator; Physics; Nuclear physics; Beam (structure); Optics","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":[0.0001815493,0.00006517912,0.0001490341,0.00003404036,0.000200494,0.00003535668,0.00009283062,0.00008309821,0.0002540553],"category_scores_gemma":[0.0003016723,0.00005318754,0.00006700715,0.00001856411,0.00003485397,0.00007928549,0.000009339979,0.0000731933,0.0001163878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001964559,"about_ca_system_score_gemma":0.0000481309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000223353,"about_ca_topic_score_gemma":0.000001555585,"domain_scores_codex":[0.9995314,0.000008070616,0.0001133298,0.0001289426,0.00009366409,0.0001245754],"domain_scores_gemma":[0.9992656,0.0000612638,0.00009157429,0.000451704,0.00005086107,0.0000790687],"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":[0.003126333,0.0008363348,0.07182412,0.0003586423,0.0005483011,0.00006593046,0.001144201,0.000008170876,0.05615215,0.0351678,0.5375811,0.293187],"study_design_scores_gemma":[0.005594428,0.0004846499,0.1546172,0.00003727613,0.0001022245,0.0000112687,0.00005801804,0.000701991,0.03636359,0.002238048,0.799624,0.000167312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7554119,0.001462006,0.007250796,0.0304265,0.00259246,0.001917562,0.0001358179,0.00028675,0.2005162],"genre_scores_gemma":[0.9734229,0.00004393726,0.001230982,0.001740928,0.0007827635,0.00002999689,0.0000261168,0.00001646019,0.02270591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2930197,"threshold_uncertainty_score":0.2781728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07265809728208865,"score_gpt":0.3825816228756099,"score_spread":0.3099235255935212,"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."}}