{"id":"W2622184934","doi":"10.1016/j.gca.2017.06.005","title":"The neutron capture process in the He shell in core-collapse supernovae: Presolar silicon carbide grains as a diagnostic tool for nuclear astrophysics","year":2017,"lang":"en","type":"article","venue":"Geochimica et Cosmochimica Acta","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"NASA Headquarters; Magyar Tudományos Akadémia; Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; European Commission; University of Hull; National Aeronautics and Space Administration; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Nucleosynthesis; Presolar grains; Formation and evolution of the Solar System; Neutron capture; Murchison meteorite; Supernova; s-process; Meteorite; Physics; Astrophysics; Stellar nucleosynthesis; Neutron; Chondrite; Solar System; Nuclear physics; Astronomy","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"],"consensus_categories":[],"category_scores_codex":[0.0005505059,0.0003811852,0.0003532873,0.00005491284,0.001006987,0.0006112392,0.002130206,0.00009401041,0.00003358658],"category_scores_gemma":[0.0002276121,0.0002564958,0.0001635833,0.0001613032,0.0002775711,0.0004461092,0.0001853312,0.0007384692,0.00002665951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002938008,"about_ca_system_score_gemma":0.0001696774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001211104,"about_ca_topic_score_gemma":0.0006989038,"domain_scores_codex":[0.9977269,0.0001300672,0.0003986901,0.0005831086,0.0003531135,0.0008081462],"domain_scores_gemma":[0.9976299,0.0008018655,0.0002732853,0.001140258,0.00006304644,0.00009167489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003467383,0.003871495,0.6427905,0.0003765955,0.0006091523,0.0001458152,0.05266069,0.005839464,0.1437166,0.08368647,0.04269067,0.02014522],"study_design_scores_gemma":[0.004036095,0.0005859772,0.9218505,0.0002836611,0.0001738285,0.00002908976,0.005150763,0.00776139,0.001318287,0.01650765,0.04091159,0.001391177],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911453,0.00003129577,0.000009177661,0.005134336,0.0001952897,0.00139613,0.0002561922,0.00002433863,0.001807965],"genre_scores_gemma":[0.9985805,0.00001570323,0.0000909115,0.0007105067,0.0002092648,0.0001273401,0.0001383084,0.0000378942,0.00008958777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.27906,"threshold_uncertainty_score":0.9999887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210189323918907,"score_gpt":0.2563643473766155,"score_spread":0.2442624541374264,"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."}}