{"id":"W2771530269","doi":"10.3204/desy-proc-2009-03/gerbier_gilles","title":"Search for low-mass WIMPs with Spherical Detectors : NEWS-LSM and NEWS-SNO","year":2017,"lang":"en","type":"article","venue":"DESY (CERN, DESY, Fermilab, IHEP, and SLAC)","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"European Commission","keywords":"Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002067805,0.001239192,0.001172252,0.002401871,0.0005487103,0.001155004,0.001282347,0.001116014,0.005076929],"category_scores_gemma":[0.001160431,0.0005858456,0.001137333,0.001583402,0.0004209254,0.0007839309,0.001305007,0.0006109195,0.002019895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006672767,"about_ca_system_score_gemma":0.0005454182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001332888,"about_ca_topic_score_gemma":0.002609225,"domain_scores_codex":[0.9988207,0.0002132311,0.00003251075,0.000359364,0.000366076,0.0002081266],"domain_scores_gemma":[0.9989476,0.0001913131,0.0002553131,0.0002064587,0.0002406709,0.0001587169],"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":[0.007936823,0.0004350632,0.102724,0.001557422,0.0009594415,0.003333136,0.0006817359,0.007573853,0.6355336,0.02972312,0.02250241,0.1870394],"study_design_scores_gemma":[0.0005629227,0.001787798,0.1053784,0.0001393861,0.000716899,0.005120508,0.0004450949,0.1364882,0.6530594,0.008638686,0.08730894,0.000353672],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7063025,0.003019872,0.2148676,0.0008394911,0.0002261388,0.000476918,0.01616602,0.01149347,0.04660796],"genre_scores_gemma":[0.7758236,0.0004207735,0.1937348,0.0001989397,0.00006854909,0.0002396144,0.02064952,0.0008381458,0.008026049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005076929,"threshold_uncertainty_score":0.01698399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01930292806604917,"score_gpt":0.2787494189670917,"score_spread":0.2594464909010425,"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."}}