{"id":"W3135506464","doi":"10.1103/physrevc.103.034306","title":"Low-, medium-, and high-spin states in the <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mi>Z</mml:mi><mml:mo>+</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:math> nucleus <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mmultiscripts><mml:mi>Ga</mml:mi><mml:mprescripts/><mml:none/><mml:mn>63</mml:mn></mml:mmultiscripts></mml:math>","year":2021,"lang":"lv","type":"article","venue":"Physical review. C","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Simon Fraser University","funders":"Argonne National Laboratory; Lawrence Berkeley National Laboratory; Office of Science; Vetenskapsrådet; U.S. Department of Energy","keywords":"Algorithm; 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","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.005121094,0.003244511,0.001778413,0.001040387,0.00494339,0.004787118,0.006519835,0.003520526,0.0365106],"category_scores_gemma":[0.003819018,0.005195653,0.00561308,0.003636066,0.00546578,0.004121561,0.008056862,0.006547818,0.008754074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001140189,"about_ca_system_score_gemma":0.003691376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005853397,"about_ca_topic_score_gemma":0.00202604,"domain_scores_codex":[0.9730188,0.002102078,0.005203327,0.005549245,0.007177012,0.006949564],"domain_scores_gemma":[0.9804454,0.004478782,0.004971916,0.006179393,0.0008639392,0.003060514],"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":[0.001763435,0.001924238,0.00002044009,0.004842225,0.004533678,0.002541289,0.004844975,0.0009491874,0.007993783,0.7705463,0.1911028,0.008937746],"study_design_scores_gemma":[0.006682488,0.0046745,0.0002504172,0.009518929,0.006305106,0.001849228,0.008374953,0.1387306,0.75801,0.006197767,0.05277169,0.006634282],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8724818,0.01064743,0.0008905034,0.002876908,0.005324876,0.0003759022,0.002838679,0.0007812161,0.1037827],"genre_scores_gemma":[0.9600838,0.01473526,0.002934734,0.003912013,0.006199386,0.0048324,0.004420232,0.002406349,0.000475849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7643484,"threshold_uncertainty_score":0.9999658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02187216720934708,"score_gpt":0.2706599382301057,"score_spread":0.2487877710207586,"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."}}