{"id":"W2593143958","doi":"10.1617/s11527-017-1017-7","title":"Monitoring steady state moisture distribution during wick action in mortar by magnetic resonance imaging (MRI)","year":2017,"lang":"en","type":"article","venue":"Materials and Structures","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of New Brunswick","funders":"","keywords":"Solid mechanics; Mortar; Moisture; Magnetic resonance imaging; Materials science; Distribution (mathematics); Nuclear magnetic resonance; Action (physics); Resonance (particle physics); Mechanics; Composite material; Physics; Medicine; Mathematics; Radiology; Mathematical analysis","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":[0.0001245767,0.0002428452,0.000211906,0.0003046046,0.0002091432,0.0002541593,0.0002036824,0.0002870149,0.0009775255],"category_scores_gemma":[0.0002957566,0.0001673298,0.0001062036,0.0001517988,0.0003127872,0.0004079136,0.0001855524,0.0002958606,0.0002544229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001087346,"about_ca_system_score_gemma":0.000109235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000852224,"about_ca_topic_score_gemma":0.001420539,"domain_scores_codex":[0.9999424,0.000005410242,0.000002540721,0.00001485321,0.00001891334,0.00001589315],"domain_scores_gemma":[0.9998403,0.00003788817,0.00004279631,0.000009477184,0.00003989526,0.00002959987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004798867,0.0000364965,0.002736499,0.00003126362,0.000006486908,0.00009774705,0.00007478134,0.0001484269,0.9922748,0.00002200801,0.00007004358,0.004021557],"study_design_scores_gemma":[0.00001672775,0.001009495,0.07665336,0.00001182358,0.0000546452,0.0003597003,0.000320458,0.006109944,0.91454,0.00009444509,0.000801313,0.00002806698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937127,0.0002473078,0.005149125,0.00002476629,0.00001840711,0.00001288367,0.0001037031,0.000107594,0.0006235077],"genre_scores_gemma":[0.9976573,0.0001314709,0.001558521,0.00001857405,0.00001360311,0.000008458463,0.00005393625,0.00001769913,0.0005403807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009775255,"threshold_uncertainty_score":0.00327009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005623456756820593,"score_gpt":0.2164644694974332,"score_spread":0.2108410127406126,"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."}}