{"id":"W2308551399","doi":"10.1016/s1090-7807(03)00121-6","title":"Laser-polarized 129Xe NMR at 1.88T and 8.5mT: a signal-to-noise ratio comparison","year":2003,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Nuclear magnetic resonance; Signal-to-noise ratio (imaging); Noise (video); SIGNAL (programming language); Laser; Chemistry; Physics; Analytical Chemistry (journal); Materials science; Optics; Computer science; Chromatography; Artificial intelligence; Image (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001064915,0.0004144016,0.0004694992,0.0004979408,0.0004064869,0.0005464174,0.0004901768,0.001228512,0.003012996],"category_scores_gemma":[0.002270781,0.0002703863,0.0001927344,0.0003346778,0.000434056,0.0008511842,0.0003065121,0.0005294086,0.0007011396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002262197,"about_ca_system_score_gemma":0.0002888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006573049,"about_ca_topic_score_gemma":0.001184258,"domain_scores_codex":[0.9997239,0.00008738883,0.00001457152,0.00005653089,0.00006158643,0.00005601693],"domain_scores_gemma":[0.9991382,0.000411115,0.00005524146,0.00004850278,0.0002888627,0.00005800484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004210285,0.0001383606,0.002074501,0.0002005808,0.00004457464,0.0003008409,0.0001747155,0.0006843503,0.9738674,0.0007714937,0.0002741727,0.01725873],"study_design_scores_gemma":[0.0001934732,0.00145852,0.02249441,0.0000472615,0.000271368,0.002087823,0.0001968594,0.007966589,0.961791,0.0007676878,0.002663522,0.00006159865],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820785,0.0009230678,0.01127238,0.0003320152,0.00003713476,0.00003562035,0.0003613834,0.0002364696,0.004723391],"genre_scores_gemma":[0.9810432,0.001019243,0.01375603,0.0002626214,0.00008145101,0.00006745041,0.000952041,0.0001777263,0.002640419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003012996,"threshold_uncertainty_score":0.01007944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485628917959135,"score_gpt":0.2740524489590739,"score_spread":0.2591961597794825,"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."}}