{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002527923,0.001708159,0.001095384,0.0005999833,0.002442959,0.001753721,0.003470747,0.001522085,0.04760459],"category_scores_gemma":[0.001703061,0.002816501,0.003703816,0.002254548,0.002566333,0.002874607,0.00450106,0.003162965,0.01065229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005194365,"about_ca_system_score_gemma":0.001664918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002381265,"about_ca_topic_score_gemma":0.0003678876,"domain_scores_codex":[0.9853334,0.0008468071,0.003013657,0.0028776,0.004052887,0.003875692],"domain_scores_gemma":[0.9898686,0.0016223,0.002831239,0.003438727,0.0006787441,0.001560343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009052624,0.0009713367,0.00001011256,0.003870021,0.002261692,0.000421844,0.00192511,0.0009250899,0.01422791,0.6188296,0.3488179,0.006834136],"study_design_scores_gemma":[0.003404335,0.00243858,0.000130618,0.006920948,0.003525822,0.0002707666,0.002319162,0.2411016,0.6970021,0.003359642,0.03607912,0.003447256],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5996719,0.006570922,0.001779472,0.001460631,0.004063874,0.0003790071,0.00333136,0.0006825006,0.3820603],"genre_scores_gemma":[0.9736576,0.01029541,0.002199178,0.001729209,0.003842963,0.002729142,0.003211515,0.001244959,0.001089997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6827742,"threshold_uncertainty_score":0.9997742,"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."}}