{"id":"W3015742396","doi":"10.1021/acsomega.0c00709","title":"Preparation of a Composite Calcium Silicate Board with Carbide Slag and Coal-Based Solid Waste Activated by Different Alkali Activators","year":2020,"lang":"en","type":"article","venue":"ACS Omega","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Ministry of Science and Technology of the People's Republic of China; Ministry of Education of the People's Republic of China","keywords":"Materials science; Flexural strength; Calcium silicate hydrate; Alkali metal; Raw material; Composite number; Geopolymer; Calcium silicate; Waste management; Compressive strength; Silicon carbide; Cement; Composite material; Metallurgy; 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":[],"consensus_categories":[],"category_scores_codex":[0.00003441825,0.0001533713,0.0002468756,0.00004147171,0.00003387963,0.00004254418,0.00009434228,0.00005321529,0.00001134783],"category_scores_gemma":[0.000006629356,0.0001276937,0.00002194356,0.0001110257,0.00004078256,0.0001035033,0.00004016761,0.00009371277,0.000002943091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003077005,"about_ca_system_score_gemma":0.00001526226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006678615,"about_ca_topic_score_gemma":0.000005949568,"domain_scores_codex":[0.9991965,0.00003608401,0.0001752187,0.0001785488,0.0002082905,0.0002053429],"domain_scores_gemma":[0.9996166,0.0000420686,0.0000411868,0.000149121,0.00003083027,0.0001201728],"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":[0.0003614522,0.00001240268,0.0008230485,0.0001643812,0.00007939496,0.000001926392,0.0002443099,0.001030418,0.996214,0.000004169671,0.0009794647,0.00008504467],"study_design_scores_gemma":[0.000759285,0.0002414794,0.0005020146,0.00003220319,0.00002261319,4.20814e-7,0.00005005068,0.01341384,0.9842907,0.000001995791,0.0005452373,0.0001401209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986349,0.00007927717,0.0004839214,0.0001969601,0.0000249871,0.0002761038,0.0000462169,0.00009965839,0.0001579668],"genre_scores_gemma":[0.9997247,0.00002130228,0.00001997868,0.00006033258,0.00002854978,0.00003443499,0.00006097699,0.00002846719,0.00002124064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01238342,"threshold_uncertainty_score":0.5207197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628367266278839,"score_gpt":0.2657019941271732,"score_spread":0.2494183214643848,"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."}}