{"id":"W1842038573","doi":"10.1186/s40623-015-0318-8","title":"Estimation of index of power law rigidity spectrum of cosmic rays using effective rigidity of multidirectional muon detector","year":2015,"lang":"en","type":"article","venue":"Earth Planets and Space","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rigidity (electromagnetism); QUIET; Muon; Physics; Cosmic ray; Detector; Power law; Power index; COSMIC cancer database; Nuclear physics; Law; Astrophysics; Optics; Astronomy; Statistics; Quantum mechanics; Mathematics; Mathematical economics; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001603939,0.0001002022,0.0002754312,0.00004613024,0.00002418831,0.000004659039,0.00004721005,0.00001888331,0.00003338064],"category_scores_gemma":[0.000005465673,0.00009127193,0.0000408704,0.00006499542,0.0001090258,0.00008159967,0.00002636299,0.00007111244,0.000001038225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007818988,"about_ca_system_score_gemma":0.00005547619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00318806,"about_ca_topic_score_gemma":0.0000623451,"domain_scores_codex":[0.9993597,0.00005370889,0.0002029133,0.0001226127,0.0001561369,0.000104949],"domain_scores_gemma":[0.9994623,0.00007867792,0.0002354102,0.0001164571,0.00005386617,0.00005328008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001743894,0.001700192,0.7842814,0.0007596941,0.0009426622,0.000003536677,0.005966538,0.05291814,0.1158766,0.01710975,0.001440653,0.01725688],"study_design_scores_gemma":[0.005340397,0.001177565,0.4607992,0.0003097732,0.0001562073,0.000008664044,0.0006122135,0.03474879,0.4580943,0.03744454,0.0007324972,0.0005759384],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909769,0.00003774773,0.004188682,0.000008800135,0.00009384515,0.0001657772,0.0002481925,0.000005002079,0.004275073],"genre_scores_gemma":[0.9994255,4.986431e-7,0.0004968075,0.00000573037,0.00002481526,0.000001473505,0.00002377124,0.000005724879,0.00001570779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3422176,"threshold_uncertainty_score":0.4819415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067942203253104,"score_gpt":0.2308117642359767,"score_spread":0.2201323422034457,"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."}}