{"id":"W164244927","doi":"10.1023/a:1004742027117","title":"Hydration of alkali-activated ground granulated blast furnace slag","year":2000,"lang":"en","type":"article","venue":"Journal of Materials Science","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":357,"is_retracted":false,"has_abstract":false,"ca_institutions":"Science North","funders":"","keywords":"Ground granulated blast-furnace slag; Hydrotalcite; Materials science; Aqueous solution; Mixing (physics); Chemical engineering; Microstructure; Cement; Composite material; Chemistry; Physical chemistry; Organic chemistry","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":[0.001211779,0.0001059467,0.000263386,0.0002083772,0.00007279269,0.0001659728,0.0003698931,0.00004310903,0.002684243],"category_scores_gemma":[0.0000402508,0.00008752756,0.00003714125,0.0004279695,0.0001609858,0.0007747589,0.00002472819,0.00006996751,0.00003346865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006928042,"about_ca_system_score_gemma":0.00008068521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002778974,"about_ca_topic_score_gemma":0.000001314875,"domain_scores_codex":[0.9984129,0.00005380287,0.0005793254,0.00009712214,0.0005970726,0.0002597649],"domain_scores_gemma":[0.9993778,0.00002420373,0.0001526934,0.0001460733,0.000203467,0.00009578549],"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":[0.0000917923,0.0000117436,0.000008727192,0.00003658127,0.00001199143,0.000008261977,0.000164191,0.001653086,0.9966283,0.00001808021,0.000113406,0.00125379],"study_design_scores_gemma":[0.0003399868,0.000136605,0.001419531,0.00007330716,0.000009233368,0.00005100749,0.00003486297,0.0004357902,0.9967554,0.00007766209,0.0005777365,0.00008888999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983467,0.00005243703,0.00007462817,0.00004462138,0.0005696927,0.00008191604,0.000008758259,0.00002205994,0.0007991549],"genre_scores_gemma":[0.9993683,0.0002430729,0.000179973,0.000009750676,0.0001243044,0.000001122525,0.000001561622,0.00001159618,0.0000603718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002650775,"threshold_uncertainty_score":0.9982274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271958939275402,"score_gpt":0.2472460780674335,"score_spread":0.2345264886746795,"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."}}