{"id":"W2110202104","doi":"10.1016/j.cemconcomp.2011.09.004","title":"Fine limestone additions to regulate setting in high volume fly ash mixtures","year":2011,"lang":"en","type":"article","venue":"Cement and Concrete Composites","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":212,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Fineness; Fly ash; Materials science; Vicat softening point; Mortar; Differential scanning calorimetry; Cement; Isothermal titration calorimetry; Compressive strength; Calorimetry; Composite material; Volume (thermodynamics); Isothermal process; Particle size; Mineralogy; Chemical engineering; Softening point; Chemistry; Thermodynamics","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":[0.0001494648,0.0001729831,0.0002084015,0.0001557159,0.00008401678,0.00007305141,0.0001431122,0.00005394861,0.001287605],"category_scores_gemma":[0.000009081317,0.0001778477,0.00002950235,0.0001569438,0.00003674507,0.0001127032,0.0001218789,0.0001013029,0.00009201145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000319523,"about_ca_system_score_gemma":0.000009383615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000103509,"about_ca_topic_score_gemma":0.00003101863,"domain_scores_codex":[0.998999,0.00003636175,0.0002555629,0.0002128495,0.0001424742,0.0003537352],"domain_scores_gemma":[0.9996032,0.00003894233,0.00002094118,0.0001872232,0.00003515965,0.0001146065],"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":[0.00007371125,0.000005731157,0.004247887,0.00009390128,0.00007359856,0.00002807147,0.0009718019,0.00009990027,0.9819785,0.0005177169,0.008115549,0.003793571],"study_design_scores_gemma":[0.002186835,0.0007362254,0.05664823,0.0004140691,0.00008086395,0.00001397836,0.000212543,0.009307616,0.9145228,0.0004662639,0.01429834,0.001112183],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962952,0.0005037848,0.0001002131,0.0001733146,0.0001416358,0.0002902667,0.00004822528,0.0001246256,0.002322747],"genre_scores_gemma":[0.9978033,0.00006800995,0.001199722,0.00008420528,0.00008797297,0.00007444649,0.0001159392,0.00002458269,0.00054179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0674557,"threshold_uncertainty_score":0.9996253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393916131757919,"score_gpt":0.2131579974077323,"score_spread":0.1992188360901531,"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."}}