{"id":"W2136376960","doi":"10.1039/c000353k","title":"Natural abundance high field 43Ca solid state NMR in cement science","year":2010,"lang":"en","type":"article","venue":"Physical Chemistry Chemical Physics","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Steacie Institute for Molecular Sciences","funders":"","keywords":"Cement; Abundance (ecology); Field (mathematics); Solid-state nuclear magnetic resonance; Materials science; Environmental science; Chemistry; Physics; Nuclear magnetic resonance; Composite material; Ecology; Biology; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005735376,0.000328296,0.000331205,0.00001164631,0.0001224024,0.00006054002,0.000846525,0.0001071215,0.0001322123],"category_scores_gemma":[0.0001043898,0.0003302749,0.0001276124,0.0004586688,0.0005517123,0.0002440451,0.0003301847,0.001368711,0.00002443094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001450703,"about_ca_system_score_gemma":0.00009882827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002497346,"about_ca_topic_score_gemma":0.000001353963,"domain_scores_codex":[0.9978188,0.000002150157,0.0003081245,0.0007480066,0.0004706331,0.0006522823],"domain_scores_gemma":[0.9985949,0.0001342291,0.0001344908,0.0007888773,0.0001253089,0.000222165],"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":[0.00002129022,0.0004412688,0.00004306686,0.00008347407,0.000005419475,0.000002703606,0.00005884082,0.00007235046,0.9930798,0.001321972,0.0001442076,0.004725652],"study_design_scores_gemma":[0.0003064742,0.000005599085,0.00001392384,0.0000333516,0.000007949378,0.000002421875,0.00001142822,0.004615762,0.9533771,0.04006793,0.001170983,0.000387108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911875,0.000008652312,0.0005291423,0.0003204291,0.0000227343,0.00008773129,0.00003758474,0.0002208095,0.007585473],"genre_scores_gemma":[0.9967923,0.000006209461,0.001798627,0.0001595674,0.0007397392,0.0001234199,0.00005876632,0.00003656201,0.0002848767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03970269,"threshold_uncertainty_score":0.9999149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006680272191192276,"score_gpt":0.2876886303101069,"score_spread":0.2810083581189147,"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."}}