{"id":"W2012083486","doi":"10.1002/mrm.22340","title":"In vivo detection of PARACEST agents with relaxation correction","year":2010,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"In vivo; Nuclear magnetic resonance; Relaxation (psychology); Chemistry; Materials science; Physics; Biology; Neuroscience","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":[0.0005300023,0.0004907952,0.000360908,0.000279952,0.0001545597,0.0002935032,0.0003653684,0.0006649674,0.001459176],"category_scores_gemma":[0.0007768695,0.000285014,0.0001707343,0.0002137355,0.0002635427,0.0004463594,0.0002678115,0.0007569693,0.0003661434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002585386,"about_ca_system_score_gemma":0.0003084822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004764071,"about_ca_topic_score_gemma":0.0006683558,"domain_scores_codex":[0.9998517,0.00004269227,0.000005278158,0.0000341915,0.00003333603,0.00003272219],"domain_scores_gemma":[0.9996977,0.0001079576,0.00006008195,0.0000301596,0.00005771053,0.00004654131],"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":[0.0001285936,0.0000135233,0.00009014125,0.00002483776,0.00000355786,0.00003707888,0.000009036905,0.00005457174,0.9980889,0.00005341839,0.00002110838,0.001475151],"study_design_scores_gemma":[0.0000134255,0.0002590881,0.0009506025,0.000002317378,0.00001505074,0.0002561439,0.000006443868,0.00167576,0.996159,0.0000395697,0.0006186063,0.000003994855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9267316,0.002260155,0.06852748,0.0002108784,0.00005849283,0.00009173719,0.0001148221,0.0003025667,0.001702152],"genre_scores_gemma":[0.9238988,0.00187195,0.06630714,0.0002417008,0.00006686826,0.0001456149,0.0004133615,0.0001529973,0.006901609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001459176,"threshold_uncertainty_score":0.004881442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210772764837472,"score_gpt":0.3033650556802313,"score_spread":0.2912573280318566,"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."}}