{"id":"W2000873445","doi":"10.1016/j.jmr.2009.09.011","title":"Pure phase encode magnetic field gradient monitor","year":2009,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Waveform; Amplitude; Phase (matter); Nuclear magnetic resonance; Physics; Imaging phantom; Dephasing; Pulse (music); Computational physics; Acoustics; Optics; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003354496,0.0004565598,0.0003347812,0.0004655637,0.0003742586,0.0009991113,0.0005757221,0.000865517,0.009926854],"category_scores_gemma":[0.001241258,0.0003762656,0.00009993603,0.0003715485,0.0003134906,0.001516756,0.0006382485,0.0005387276,0.001705658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00017744,"about_ca_system_score_gemma":0.0003208016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001820436,"about_ca_topic_score_gemma":0.0004704691,"domain_scores_codex":[0.9997761,0.0000565236,0.00001069522,0.0000492408,0.00008441951,0.00002309237],"domain_scores_gemma":[0.9994745,0.0001968409,0.00005439372,0.00008208422,0.0001511597,0.00004094635],"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":[0.002413357,0.0001949546,0.002447994,0.0005832918,0.0000770883,0.0004916852,0.0001238174,0.002170403,0.7207609,0.01073808,0.009564698,0.2504337],"study_design_scores_gemma":[0.0002173796,0.000779388,0.005280304,0.0001097429,0.0001663709,0.005794553,0.00007047166,0.07951812,0.8524683,0.006187877,0.04931282,0.00009481976],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1438285,0.002436679,0.7978485,0.001532551,0.0005642271,0.000370027,0.001277055,0.005019735,0.04712269],"genre_scores_gemma":[0.5768148,0.0012384,0.3847588,0.001925149,0.0003432894,0.0002360796,0.0007302045,0.001090099,0.03286317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009926854,"threshold_uncertainty_score":0.03320867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323763568826589,"score_gpt":0.3266997276635298,"score_spread":0.3134620919752639,"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."}}