{"id":"W2088123380","doi":"10.1007/bf02482126","title":"Pore water distribution in mortar during drying as determined by NMR","year":2001,"lang":"en","type":"article","venue":"Materials and Structures","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":111,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Wageningen University and Research; Stichting voor de Technische Wetenschappen","keywords":"Mortar; Materials science; Capillary action; Moisture; Relative humidity; Water content; Volume (thermodynamics); Composite material; Analytical Chemistry (journal); Chemistry; Chromatography; Thermodynamics; Geotechnical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00003140257,0.00009745278,0.0001200919,0.00001400039,0.0001209049,0.000087972,0.00005060563,0.00002667631,0.0007443948],"category_scores_gemma":[7.411905e-7,0.00007142231,0.00001512225,0.00002670413,0.00002137221,0.00006546654,0.00002765872,0.00003810398,0.000004273515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008497508,"about_ca_system_score_gemma":0.000003479514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004335643,"about_ca_topic_score_gemma":0.000005405594,"domain_scores_codex":[0.9994638,0.0000132486,0.0001449531,0.0001504683,0.00004448626,0.0001830577],"domain_scores_gemma":[0.9998371,0.000003682661,0.00002975539,0.00008912668,0.000006632411,0.00003371951],"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":[0.00002190353,0.00001011645,0.01080206,0.000007171081,0.000006561621,0.000002858453,0.00009625503,0.000004024888,0.9851669,0.003430121,0.00006513535,0.0003869019],"study_design_scores_gemma":[0.0002671673,0.000008871687,0.02926446,0.000006516525,0.000006069768,0.000004428114,0.00005116845,0.000003064294,0.9502565,0.01858353,0.001443217,0.0001049884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992205,0.0000169506,0.00007184777,0.00009021607,0.00004397038,0.0001011707,0.0001358649,0.00001397491,0.0003055218],"genre_scores_gemma":[0.9990504,0.000006172138,0.00003357316,0.00001385702,0.0001422657,0.00002456594,0.0005869477,0.000007212269,0.0001350349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03491038,"threshold_uncertainty_score":0.8150601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003907814131942603,"score_gpt":0.2680857516840033,"score_spread":0.2641779375520608,"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."}}