{"id":"W3115609501","doi":"10.1103/physrevc.103.034329","title":"Investigation of pair-correlated <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:msup><mml:mn>0</mml:mn><mml:mo>+</mml:mo></mml:msup></mml:math> states in <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mmultiscripts><mml:mi>Ba</mml:mi><mml:mprescripts/><mml:none/><mml:mn>134</mml:mn></mml:mmultiscripts></mml:math> via the <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mrow><mml:mmultiscripts><mml:mi>Ba</mml:mi><mml:mprescripts/><mml:none/><mml:mn>136</mml:mn></mml:mmultiscripts><mml:mo>(</mml:mo><mml:mi>p</mml:mi><mml:mo>,</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math> reaction","year":2021,"lang":"lv","type":"article","venue":"Physical review. C","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF; University of Guelph","funders":"National Research Foundation","keywords":"Algorithm; Artificial intelligence; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.009320527,0.00604872,0.003021798,0.002610737,0.008828488,0.007267038,0.01092578,0.008716205,0.03970172],"category_scores_gemma":[0.008019321,0.01008866,0.01050525,0.006991648,0.009589178,0.008552983,0.01195702,0.01186273,0.01270411],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002771834,"about_ca_system_score_gemma":0.007079401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01293562,"about_ca_topic_score_gemma":0.00430044,"domain_scores_codex":[0.9528483,0.003962401,0.01025292,0.00957271,0.01192777,0.01143585],"domain_scores_gemma":[0.9639195,0.007154545,0.01127319,0.01026977,0.001864907,0.005518085],"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":[0.004878279,0.002724536,0.00004851468,0.006496367,0.008818758,0.003681661,0.007209013,0.003469724,0.02144559,0.7410221,0.1915629,0.008642631],"study_design_scores_gemma":[0.008269481,0.005809023,0.0002074671,0.009447605,0.009187315,0.003835253,0.008912412,0.2621476,0.6496176,0.004976631,0.02916095,0.008428655],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8726678,0.01118894,0.002479799,0.002780972,0.0110701,0.0007206178,0.00465783,0.001908786,0.09252508],"genre_scores_gemma":[0.9420509,0.01327214,0.005662447,0.004627707,0.008074369,0.009536992,0.01091047,0.004903066,0.000961879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7360454,"threshold_uncertainty_score":0.9994043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253686829054891,"score_gpt":0.2625227981127273,"score_spread":0.2371541152072382,"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."}}