{"id":"W1985752685","doi":"10.1103/physreva.73.022721","title":"Nuclear relaxation of<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mmultiscripts><mml:mi>He</mml:mi><mml:none/><mml:none/><mml:mprescripts/><mml:none/><mml:mn>3</mml:mn></mml:mmultiscripts></mml:mrow></mml:math>in the presence of<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:mi>NO</mml:mi></mml:mrow></mml:math>","year":2006,"lang":"lv","type":"article","venue":"Physical Review A","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Physics; Paramagnetism; Relaxation (psychology); Nuclear magnetic resonance; Condensed matter physics","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","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.003598084,0.001999754,0.001229148,0.0006034849,0.002326776,0.001836862,0.004891597,0.00242139,0.02286321],"category_scores_gemma":[0.002141012,0.003011724,0.004442459,0.002270081,0.003369406,0.002982682,0.003858792,0.004176795,0.005437111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006417101,"about_ca_system_score_gemma":0.002881461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00532067,"about_ca_topic_score_gemma":0.000794813,"domain_scores_codex":[0.982216,0.001266536,0.004152194,0.003390131,0.004818418,0.004156699],"domain_scores_gemma":[0.9853996,0.002993766,0.004642825,0.004943433,0.000527047,0.001493326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001657201,0.001644116,0.00002996893,0.004367197,0.002247523,0.0008110745,0.002894552,0.001370628,0.007872241,0.8987533,0.07230337,0.006048857],"study_design_scores_gemma":[0.003197705,0.001755002,0.0002242229,0.006354111,0.003136121,0.0006019686,0.002705997,0.6911157,0.2706012,0.0009137634,0.01658404,0.002810155],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8559427,0.005590165,0.001846013,0.001129261,0.002724248,0.0002587577,0.001325832,0.0003125031,0.1308706],"genre_scores_gemma":[0.9782855,0.006460599,0.002199086,0.001480104,0.004127453,0.002481654,0.003161438,0.001293768,0.0005104311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8978395,"threshold_uncertainty_score":0.9993429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144130869823804,"score_gpt":0.266480829807527,"score_spread":0.245039521109289,"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."}}