{"id":"W2404845581","doi":"10.1080/21650373.2015.1047913","title":"Low temperature synthesis of cement from ladle slag and fly ash","year":2015,"lang":"en","type":"article","venue":"Journal of Sustainable Cement-Based Materials","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Carbonation; Fly ash; Cement; Slag (welding); Materials science; Ladle; Calcium silicate; Waste management; Metallurgy; Composite material; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001319221,0.0002319437,0.0005972099,0.0002612611,0.00005329406,0.0002206191,0.0002437153,0.0001160572,0.001054752],"category_scores_gemma":[0.0001676897,0.0001988619,0.00006644077,0.0001389651,0.00005038844,0.0003153561,0.0000956727,0.000105612,0.000007902902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002290376,"about_ca_system_score_gemma":0.0002370997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001158061,"about_ca_topic_score_gemma":0.000002474351,"domain_scores_codex":[0.9978738,0.0001454624,0.0008077215,0.0001482437,0.0005711401,0.0004536271],"domain_scores_gemma":[0.9986361,0.0001045149,0.0002577657,0.0002357963,0.0005370636,0.0002287696],"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":[0.0004648786,0.00006360143,0.00007569895,0.0008594251,0.0001771278,0.0001482372,0.000177746,0.001072346,0.9905691,0.0001131957,0.005965781,0.0003128221],"study_design_scores_gemma":[0.001581364,0.0003271326,0.0001114104,0.0002183494,0.00008784793,0.000004766368,0.002873442,0.00005332761,0.9889221,0.00016698,0.005461155,0.0001921298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980168,0.0005369632,0.0001010382,0.0001872008,0.0004622824,0.0002978906,0.0001017828,0.00002564879,0.0002704254],"genre_scores_gemma":[0.9987746,0.0001789628,0.0004287336,0.00004667706,0.000267335,0.00002529779,0.00002094639,0.00004052955,0.0002168839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002695696,"threshold_uncertainty_score":0.9998584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128236581533011,"score_gpt":0.2243000829808552,"score_spread":0.2130177171655251,"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."}}