{"id":"W7068139376","doi":"","title":"16N calibration and background studies for SNO+","year":2022,"lang":"en","type":"dissertation","venue":"Lu Zone Ul (Laurentian University)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scintillator; Calibration; Detector; Scintillation; Cherenkov radiation; Cherenkov detector; Liquid scintillation counting; Energy (signal processing); Particle detector","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002223354,0.0006946923,0.0004177703,0.001570566,0.001120864,0.001274357,0.001237927,0.0006974223,0.004524717],"category_scores_gemma":[0.001638802,0.0003722505,0.00042315,0.001976892,0.000490874,0.0007104364,0.001065178,0.0007758397,0.002285545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002305691,"about_ca_system_score_gemma":0.001417984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008760829,"about_ca_topic_score_gemma":0.01669165,"domain_scores_codex":[0.9978623,0.0001809235,0.00004591499,0.0004710855,0.001286237,0.0001535195],"domain_scores_gemma":[0.9992443,0.0000851823,0.0001215442,0.00008774224,0.0004224121,0.00003882185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001669738,0.0005892214,0.1401908,0.001048377,0.000245048,0.00114184,0.002062266,0.01119789,0.4452397,0.06106675,0.02855499,0.3069935],"study_design_scores_gemma":[0.00006966243,0.000535369,0.09467288,0.0003966932,0.0001557739,0.001104379,0.001016473,0.02145043,0.5859512,0.007180456,0.2872908,0.0001758466],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6481854,0.007255455,0.1275768,0.00192644,0.0007672248,0.000499991,0.007359117,0.003180778,0.2032488],"genre_scores_gemma":[0.8341864,0.005481945,0.09561937,0.001123194,0.0002228578,0.0003595705,0.01133806,0.001962576,0.04970612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008760829,"threshold_uncertainty_score":0.0174197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02575570393206141,"score_gpt":0.2717853453531059,"score_spread":0.2460296414210445,"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."}}