{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009390537,0.0005898713,0.0004373288,0.0008671006,0.0006939529,0.0009379793,0.001464074,0.0008495901,0.1412632],"category_scores_gemma":[0.0006831136,0.0005216243,0.0004724217,0.0005583714,0.0002197392,0.0008227535,0.001004739,0.001235162,0.04318903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008933831,"about_ca_system_score_gemma":0.001079254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001783316,"about_ca_topic_score_gemma":0.002656177,"domain_scores_codex":[0.9995701,0.00004280392,0.00001269696,0.00006867762,0.0002337027,0.0000720266],"domain_scores_gemma":[0.9995599,0.0000436562,0.00003526202,0.0001009773,0.0001975898,0.00006258414],"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":[0.003651518,0.0002144529,0.005011523,0.0008132227,0.0001508984,0.0005436419,0.0004146435,0.007534912,0.3491325,0.02773102,0.377795,0.2270066],"study_design_scores_gemma":[0.0002382165,0.0005152199,0.004819351,0.00007440185,0.0000371701,0.001216351,0.00005209842,0.008353547,0.08887648,0.00204268,0.8936539,0.0001206911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05691534,0.002797704,0.2855379,0.001535857,0.001130406,0.0009289316,0.0169027,0.1383395,0.4959117],"genre_scores_gemma":[0.3507409,0.000880041,0.2907742,0.002274034,0.0003456111,0.0008649954,0.03249185,0.01923673,0.3023917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1412632,"threshold_uncertainty_score":0.4725726,"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."}}