{"id":"W1535627872","doi":"","title":"U.S. Government Capabilities to Support Analysis of Gamma Ray Data Submitted by Field Elements","year":2005,"lang":"en","type":"paratext","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"J. D. Irving (Canada)","funders":"","keywords":"Field (mathematics); Government (linguistics); Computer science; Data science; Mathematics","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":[0.001757037,0.0007966308,0.0003504627,0.003638487,0.002473995,0.005771848,0.001076844,0.00191032,0.243255],"category_scores_gemma":[0.004953325,0.0003972826,0.0002819932,0.004501026,0.0009977615,0.003872899,0.001730881,0.001310289,0.2182479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003020632,"about_ca_system_score_gemma":0.004814073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03886713,"about_ca_topic_score_gemma":0.05804136,"domain_scores_codex":[0.9992554,0.0001166209,0.00004074733,0.00007207655,0.0004271145,0.0000880747],"domain_scores_gemma":[0.9949779,0.001148164,0.0002494403,0.001282846,0.001841427,0.0005002182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004282163,0.00008562354,0.0008953242,0.00009832753,0.000004489901,0.0002087052,0.0002768975,0.0004890538,0.001166222,0.009507573,0.8824555,0.1047694],"study_design_scores_gemma":[0.00001390209,0.00001398409,0.0009560601,0.00005007405,0.000002388728,0.00006233624,0.0001133722,0.0005622025,0.0006261385,0.001165197,0.9964268,0.000007637503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004016549,0.0008848973,0.005597427,0.008378351,0.0005384202,0.0002444009,0.008958039,0.009733958,0.9616479],"genre_scores_gemma":[0.01717894,0.001573016,0.007199079,0.0009542825,0.000189474,0.00009978611,0.01075045,0.001458647,0.9605962],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.243255,"threshold_uncertainty_score":0.813769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067606901456637,"score_gpt":0.1915248663778098,"score_spread":0.1808487973632434,"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."}}