{"id":"W2891748698","doi":"10.18429/jacow-ipac2018-moxgb2","title":"ARIEL at TRIUMF: Science and Technology","year":2018,"lang":"en","type":"article","venue":"JACOW","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"","keywords":"Computer science","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":[0.0004720433,0.00005288123,0.00006466349,0.0002824264,0.0003905275,0.0002914591,0.001030548,0.0000381694,0.00001837303],"category_scores_gemma":[0.00007744116,0.00004070928,0.000007372049,0.001891082,0.0007895431,0.003979724,0.00062955,0.00003988983,0.0004915285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002876268,"about_ca_system_score_gemma":0.0001661053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000354393,"about_ca_topic_score_gemma":0.000001032258,"domain_scores_codex":[0.9991063,0.00000681593,0.0001290753,0.0002205617,0.000320191,0.0002170945],"domain_scores_gemma":[0.9992775,0.00001355501,0.00005571774,0.0003881518,0.0001856416,0.00007944602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007226702,0.00003453169,0.02249004,0.00001966772,0.000006799531,0.000007890578,0.0108888,0.000001281235,0.08659086,0.6351429,0.08365002,0.16116],"study_design_scores_gemma":[0.0004036863,0.0003373085,0.009987147,0.0000165964,6.597426e-7,0.0001701445,0.0003811162,0.04751119,0.1842978,0.005828952,0.7507727,0.0002927081],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.765722,0.0001033402,0.04382254,0.01824708,0.001989886,0.0002848475,0.000001659319,0.000602857,0.1692258],"genre_scores_gemma":[0.991916,0.000002875862,0.004816344,0.001281102,0.00007277316,0.000004340011,1.259855e-7,0.000001350236,0.001905114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6671227,"threshold_uncertainty_score":0.6317769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00914818235070974,"score_gpt":0.2161065165635528,"score_spread":0.206958334212843,"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."}}