{"id":"W3009254777","doi":"","title":"Magnetic resonance imaging (MRI) and relaxation time mapping of concrete","year":2001,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Magnetic resonance imaging; Nuclear magnetic resonance; Relaxation (psychology); Geology; Medicine; Radiology; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000006552683,0.0000752867,0.0001177875,0.000009997871,0.00004359258,0.000006167494,0.00005828538,0.000008107588,0.00001451454],"category_scores_gemma":[0.000001778059,0.00007844086,0.000008947806,0.00006147558,0.00004031496,0.0001122556,0.00003070728,0.0000512425,2.338273e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001998722,"about_ca_system_score_gemma":0.00006417927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000405703,"about_ca_topic_score_gemma":0.0002070979,"domain_scores_codex":[0.9993413,0.00001547595,0.0001445994,0.00009421169,0.0002886345,0.0001157524],"domain_scores_gemma":[0.9996706,0.0001233034,0.00003944821,0.00008978062,3.426132e-7,0.00007658354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006325949,0.000005968901,0.02458948,0.0002483171,0.0000228858,0.00002160641,0.0001500238,0.0002818149,0.6681031,0.06450056,0.00066709,0.2413459],"study_design_scores_gemma":[0.0005657329,0.00005107133,0.656489,0.0002614228,0.00002565058,0.00001404711,0.0008776463,0.1589917,0.07453344,0.007001288,0.1007561,0.0004329458],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7702105,0.003766094,0.001844556,0.002390624,0.00007624464,0.000229173,0.0001198216,0.00003353311,0.2213295],"genre_scores_gemma":[0.9907687,0.0002887184,0.007519138,0.0001218165,0.00002126396,0.000005264613,0.00000193535,0.00001095212,0.001262246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6318995,"threshold_uncertainty_score":0.3198726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002530951642191259,"score_gpt":0.1389881674649736,"score_spread":0.1364572158227824,"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."}}