{"id":"W2553636544","doi":"10.1016/j.astropartphys.2017.02.005","title":"Final results of the PICASSO dark matter search experiment","year":2017,"lang":"en","type":"article","venue":"Astroparticle Physics","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":116,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University; University of Alberta; Université de Montréal; Atomic Energy (Canada); Snolab; Queen's University","funders":"Ministerstvo Školství, Mládeže a Tělovýchovy; Natural Sciences and Engineering Research Council of Canada; Department of Atomic Energy, Government of India; Canada Foundation for Innovation; National Science Foundation","keywords":"Physics; WIMP; Dark matter; Sigma; Detector; Annihilation; PICASSO; Particle physics; Nuclear physics; Bubble chamber; Massive particle; Astrophysics; Astronomy; Optics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005718015,0.002095195,0.001951757,0.001555238,0.002606347,0.003522307,0.0009672901,0.00136134,0.006561057],"category_scores_gemma":[0.003945671,0.0006381554,0.001043655,0.0009293004,0.001379313,0.001248047,0.003145614,0.00113878,0.002951623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001953745,"about_ca_system_score_gemma":0.001753086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008262754,"about_ca_topic_score_gemma":0.01792966,"domain_scores_codex":[0.9976681,0.0006657084,0.00005683391,0.0004845245,0.0006624958,0.0004624088],"domain_scores_gemma":[0.9959612,0.0007362378,0.0003743368,0.0008691509,0.0007774949,0.001281466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.08104734,0.003391482,0.2504308,0.002099585,0.004264269,0.003015799,0.002407149,0.01160933,0.05850975,0.07023463,0.3727531,0.1402367],"study_design_scores_gemma":[0.01262806,0.002973022,0.5345142,0.0003976824,0.003223398,0.00193475,0.001368896,0.0251715,0.0520853,0.06258892,0.3022391,0.0008751675],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7083279,0.003516161,0.01083973,0.01079757,0.001481026,0.0007383507,0.0951085,0.003122222,0.1660684],"genre_scores_gemma":[0.89037,0.0005150493,0.008844973,0.002344307,0.0006290885,0.0003829606,0.07160111,0.0009923462,0.02432015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008262754,"threshold_uncertainty_score":0.03024006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03163144784967092,"score_gpt":0.2849210609500006,"score_spread":0.2532896131003297,"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."}}