{"id":"W4244040820","doi":"10.1007/bf02479555","title":"Single-point magnetic resonance imaging (MRI) of cement based materials","year":2003,"lang":"en","type":"article","venue":"Materials and Structures","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Materials science; Solid mechanics; Mortar; Moisture; Cement; Magnetic resonance imaging; Water content; Curing (chemistry); Capillary action; Composite material; Nondestructive testing; Nuclear magnetic resonance; Geotechnical engineering; Geology; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009587003,0.0001283203,0.0002015219,0.00002649886,0.00008641746,0.00008619769,0.00006849113,0.000017324,0.004331447],"category_scores_gemma":[0.000002933082,0.0001079716,0.00002169506,0.00003968929,0.00006280184,0.00004073754,0.00001902092,0.00002256868,0.0000026588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006231271,"about_ca_system_score_gemma":0.00001605436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001114296,"about_ca_topic_score_gemma":9.193838e-7,"domain_scores_codex":[0.9992701,0.00005097672,0.0002520558,0.0001834895,0.00007497409,0.0001683495],"domain_scores_gemma":[0.9996451,0.00001593037,0.0001005159,0.0001794978,0.00002301238,0.0000359949],"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":[0.00001378983,0.00002369089,0.0008707101,0.00001816839,0.000003151843,2.964997e-7,0.00003819398,0.000002392502,0.8842924,0.1131604,0.0001439029,0.001432892],"study_design_scores_gemma":[0.0003099701,0.00003088354,0.005147716,0.00001688823,0.00001417589,8.264118e-7,0.00005279585,0.000002792848,0.9559995,0.03301616,0.005296648,0.0001116437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961555,0.000343316,0.0009550306,0.00009299972,0.0001764732,0.0001903643,0.0002534553,0.00001340043,0.001819463],"genre_scores_gemma":[0.99678,0.000003425005,0.002961985,0.00004964464,0.00008751284,0.00002827232,0.00002462292,0.00001198443,0.00005258197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08014422,"threshold_uncertainty_score":0.9965788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006419087165725246,"score_gpt":0.2564068839552671,"score_spread":0.2499877967895419,"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."}}