{"id":"W3038498690","doi":"10.1017/s143192760002657x","title":"3D Visualization of Maize Stem by MRI Technology","year":2001,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Materials science; Magnetic resonance imaging; Scanner; Imaging phantom; Artifact (error); Biomedical engineering; Visualization; Voxel; Pixel; Nuclear magnetic resonance; Nuclear medicine; Computer science; Optics; Physics; Artificial intelligence; Medicine; Radiology","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":[0.0001614914,0.000382279,0.0001568523,0.0009970018,0.0001808749,0.0003645786,0.0003081996,0.000376054,0.002059546],"category_scores_gemma":[0.0001207567,0.0002910724,0.00020818,0.0003797379,0.0001807983,0.000316682,0.0004083283,0.0003814435,0.0005990464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001896461,"about_ca_system_score_gemma":0.0002007701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015473,"about_ca_topic_score_gemma":0.001420449,"domain_scores_codex":[0.9999372,0.000008513287,0.000003091895,0.00001756916,0.00001982744,0.00001382037],"domain_scores_gemma":[0.999916,0.00001887689,0.0000241085,0.00000884326,0.0000188611,0.00001342641],"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":[0.00002501838,0.000002175556,0.00009420853,0.00004617097,0.000002566832,0.00009220691,0.000020799,0.0001860497,0.9976813,0.0001576906,0.00006681347,0.001624938],"study_design_scores_gemma":[0.00001947592,0.000143289,0.008679491,0.00003851755,0.00003905489,0.00201761,0.00009336618,0.007121618,0.9692895,0.000336771,0.01218903,0.00003218413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6996008,0.006591661,0.2757055,0.0005846706,0.0001299613,0.0001905342,0.004050558,0.002574207,0.01057235],"genre_scores_gemma":[0.7688269,0.003091408,0.2208995,0.0001345184,0.00007318419,0.0001610484,0.00151094,0.0002531566,0.005049384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002059546,"threshold_uncertainty_score":0.00688988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007316008201386831,"score_gpt":0.2719820234597898,"score_spread":0.2646660152584029,"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."}}