{"id":"W3197707519","doi":"10.5281/zenodo.1300938","title":"Ambe Source Calibration In The Sno+ Water Phase","year":2018,"lang":"en","type":"article","venue":"Repositório Comum (Repositório Científico de Acesso Aberto de Portugal)","topic":"Neutrino Physics Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Compute Canada; Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Queen's University; Canadian Institute for Advanced Research; Fundação para a Ciência e a Tecnologia; U.S. Department of Energy; National Science Foundation","keywords":"Calibration; Cherenkov radiation; Detector; Cherenkov detector; Phase (matter); Neutron; Particle identification; Particle detector; Component (thermodynamics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003837449,0.0007527611,0.0006877977,0.002440174,0.001266079,0.00165126,0.001541356,0.001679375,0.003820565],"category_scores_gemma":[0.004324559,0.0005835863,0.0005116467,0.00247233,0.0006212845,0.001237416,0.002064956,0.001190862,0.002647322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597464,"about_ca_system_score_gemma":0.0009881882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002771981,"about_ca_topic_score_gemma":0.006063651,"domain_scores_codex":[0.9963681,0.000438177,0.000123861,0.0008359908,0.002009132,0.0002248064],"domain_scores_gemma":[0.9976968,0.0002186917,0.0002045724,0.0006790421,0.001128882,0.00007191033],"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":[0.004126595,0.0006912901,0.09866808,0.001133971,0.0004736963,0.001624249,0.002100136,0.01766697,0.507562,0.03577577,0.02450049,0.3056767],"study_design_scores_gemma":[0.0002373654,0.0006101998,0.1008417,0.0002928389,0.000225561,0.002299584,0.0005736505,0.03152579,0.6039237,0.005702183,0.2535369,0.0002305577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6101761,0.002972309,0.2021292,0.001543843,0.0009447451,0.0009182694,0.01162872,0.006880194,0.1628067],"genre_scores_gemma":[0.8919818,0.0007994932,0.08120201,0.0007123271,0.00008607982,0.0003868341,0.008600695,0.001835603,0.01439504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003837449,"threshold_uncertainty_score":0.02029461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418114940089967,"score_gpt":0.3049430441089347,"score_spread":0.290761894708035,"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."}}