{"id":"W3181696273","doi":"10.22323/1.395.1119","title":"A novel microstructure based model to explain the IceCube ice anisotropy","year":2021,"lang":"en","type":"article","venue":"Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)","topic":"Astrophysics and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Office of Experimental Program to Stimulate Competitive Research; Deutsches Elektronen-Synchrotron; College of Engineering, Michigan State University; Helmholtz Alliance for Astroparticle Physics; National Science Foundation; Santen; Fonds Wetenschappelijk Onderzoek; Deutsche Forschungsgemeinschaft; Belgian Federal Science Policy Office; Bundesministerium für Bildung und Forschung; University of Wisconsin-Madison; Marquette University; Science and Technology Facilities Council; Michigan State University; Office of Polar Programs; Fonds De La Recherche Scientifique - FNRS; U.S. Department of Energy","keywords":"Cherenkov radiation; Physics; Anisotropy; Neutrino; Ice crystals; Birefringence; Optics; Detector; Computational physics; Nuclear physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001554812,0.0003408503,0.0003372323,0.00009537478,0.0001698596,0.0002780973,0.0009701544,0.00005106069,0.0003200854],"category_scores_gemma":[0.00003488623,0.0002937265,0.0001988428,0.0003016964,0.000102889,0.0002860276,0.0003011955,0.0003481917,0.00002632612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008286854,"about_ca_system_score_gemma":0.000454248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001023473,"about_ca_topic_score_gemma":0.000003997436,"domain_scores_codex":[0.997983,0.000008540277,0.0004843117,0.0005786921,0.000544776,0.0004006675],"domain_scores_gemma":[0.9976917,0.00006011497,0.0003225754,0.0002186801,0.001549412,0.0001574979],"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":[0.0001423843,0.000268696,0.002684673,0.0000274209,0.0002128017,0.000001139583,0.0009629064,0.002464202,0.7256302,0.2606774,0.004123792,0.00280437],"study_design_scores_gemma":[0.005856521,0.0003951152,0.005931917,0.0006904414,0.0002825752,0.00002230715,0.01089998,0.3913193,0.3749759,0.1924935,0.01494827,0.002184255],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7422193,0.00003591966,0.2142264,0.005623918,0.000517374,0.000493329,0.0009137382,0.00005332067,0.03591674],"genre_scores_gemma":[0.9845248,0.000004022039,0.01254531,0.001050485,0.0003624807,0.00008097077,0.0001047924,0.00003375933,0.001293406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3888551,"threshold_uncertainty_score":0.9999515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01969212563475566,"score_gpt":0.2480783612477889,"score_spread":0.2283862356130332,"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."}}