{"id":"W2954070614","doi":"10.1103/physrevlett.123.082501","title":"Direct Observation of Proton Emission in <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>Be</mml:mi></mml:mrow><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>11</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math>","year":2019,"lang":"lv","type":"article","venue":"Physical Review Letters","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; University of Guelph; University of British Columbia; University of Manitoba; Simon Fraser University; TRIUMF","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; TRIUMF; U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"Physics; Proton; Projection (relational algebra); Nuclear physics; Atomic physics; Algorithm; Computer 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001870498,0.001099206,0.0006219287,0.0003796176,0.0009637202,0.0009388412,0.002142374,0.001010669,0.1970755],"category_scores_gemma":[0.0008573198,0.001904535,0.002100136,0.001451595,0.001092954,0.002224004,0.001615564,0.0018673,0.002152075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002841431,"about_ca_system_score_gemma":0.001086354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001879643,"about_ca_topic_score_gemma":0.0004298534,"domain_scores_codex":[0.9899596,0.0006137914,0.002371484,0.001987756,0.002537862,0.002529532],"domain_scores_gemma":[0.9928349,0.001089618,0.002473355,0.002444972,0.0001849165,0.0009721887],"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":[0.002600534,0.001466217,0.0007446409,0.01147367,0.002820134,0.0007042012,0.00507574,0.002188423,0.09009862,0.4068895,0.4642456,0.01169272],"study_design_scores_gemma":[0.002042732,0.0009454059,0.001103997,0.0055082,0.001139677,0.00011459,0.0005276845,0.1040399,0.8687687,0.0000242444,0.01406429,0.001720641],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8225663,0.002128485,0.0003143832,0.001411419,0.002238741,0.0001493915,0.0003171276,0.0001528389,0.1707213],"genre_scores_gemma":[0.9856274,0.002639775,0.001350884,0.00313285,0.002030673,0.00238465,0.001875874,0.0006376079,0.0003202559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7786701,"threshold_uncertainty_score":0.9986249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461870270553992,"score_gpt":0.2586888151066608,"score_spread":0.2340701124011208,"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."}}