{"id":"W2986050396","doi":"10.1140/epjc/s10052-020-7977-8","title":"Theia: an advanced optical neutrino detector","year":2020,"lang":"en","type":"article","venue":"The European Physical Journal C","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Laurentian University; University of Alberta","funders":"Nuclear Physics; Division of Physics; Office of Defense Nuclear Nonproliferation; University of California Berkeley; High Energy Physics; Fundação para a Ciência e a Tecnologia; University of California, Davis; U.S. Department of Energy; National Nuclear Security Administration; Office of Science; National Science Foundation","keywords":"Neutrino; Cherenkov radiation; Neutrino detector; Detector; Scintillator; Solar neutrino; Cherenkov detector; Supernova; Particle identification","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":[0.000873642,0.0005572134,0.0005308581,0.001002938,0.0006181146,0.002297279,0.001621731,0.001068342,0.007487803],"category_scores_gemma":[0.0007781275,0.0004106323,0.0005923228,0.0007736591,0.000413295,0.001544509,0.00157745,0.001058375,0.003383092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009140404,"about_ca_system_score_gemma":0.001278284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008114629,"about_ca_topic_score_gemma":0.0008365425,"domain_scores_codex":[0.9992884,0.0001015595,0.00003563935,0.0001712662,0.0003064908,0.00009667345],"domain_scores_gemma":[0.999468,0.00007139496,0.00007736049,0.00009138036,0.0002058797,0.00008598828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002794172,0.0004997134,0.01074282,0.0004622136,0.0001459868,0.0005892057,0.0002897768,0.00761327,0.4411586,0.1129099,0.08348537,0.339309],"study_design_scores_gemma":[0.0004003158,0.0009096515,0.002546145,0.0001219069,0.0001712324,0.001915048,0.0001096937,0.1499483,0.3200606,0.007243319,0.5163426,0.0002313144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0942606,0.002562433,0.6814823,0.002315589,0.001950535,0.0007857831,0.004876942,0.02869084,0.183075],"genre_scores_gemma":[0.4761821,0.000800584,0.452374,0.001831858,0.0004966005,0.0005612505,0.003281668,0.0006378951,0.06383409],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007487803,"threshold_uncertainty_score":0.02504921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0303650912185399,"score_gpt":0.295855055687479,"score_spread":0.2654899644689391,"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."}}