{"id":"W4317543183","doi":"10.1103/physrevc.107.014309","title":"<i>Ab initio</i> no-core shell-model description of <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mmultiscripts><mml:mi mathvariant=\"normal\">C</mml:mi><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>10</mml:mn><mml:mo>–</mml:mo><mml:mn>14</mml:mn></mml:mrow></mml:mmultiscripts></mml:math> isotopes","year":2023,"lang":"lv","type":"article","venue":"Physical review. C","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; TRIUMF","funders":"Science and Engineering Research Board; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004880467,0.001135919,0.0009532361,0.0007953292,0.001114563,0.001171315,0.003412025,0.00143383,0.05578046],"category_scores_gemma":[0.0008995291,0.0005412429,0.0009981414,0.001522657,0.0003530148,0.001375597,0.0005507048,0.001231392,0.01111204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137154,"about_ca_system_score_gemma":0.001514694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01417139,"about_ca_topic_score_gemma":0.02730266,"domain_scores_codex":[0.9997241,0.00008356544,0.000009513434,0.00001839611,0.0001242429,0.00004007609],"domain_scores_gemma":[0.9995957,0.0001283482,0.00003522721,0.0001118595,0.0001025232,0.0000262967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001440373,0.00024083,0.00118334,0.001020211,0.00009120116,0.00041127,0.0002118323,0.4422955,0.007159486,0.4204262,0.1038077,0.02300845],"study_design_scores_gemma":[0.00006114764,0.00004391951,0.0005604514,0.0000760589,0.00001915516,0.00006778161,0.00008571537,0.9183754,0.003339154,0.04463733,0.03268407,0.00004981457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.122402,0.002095432,0.3493664,0.002293627,0.0008467803,0.0006629129,0.06065808,0.008801144,0.4528737],"genre_scores_gemma":[0.5742492,0.002632167,0.2678732,0.001590997,0.0002796902,0.002455061,0.0424184,0.0122238,0.09627749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05578046,"threshold_uncertainty_score":0.1866042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03831686947134456,"score_gpt":0.285062608585902,"score_spread":0.2467457391145575,"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."}}