{"id":"W4411162809","doi":"10.1016/j.nxmate.2025.100811","title":"Ultra-low dosages of novel graphene types enhance the rheological properties and buildability of 3D printed binders","year":2025,"lang":"en","type":"article","venue":"Next Materials","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro One (Canada); Canadian Hydrographic Service","funders":"Arizona State University; National Science Foundation","keywords":"Rheology; Graphene; Materials science; 3d printed; Composite material; Nanotechnology; Manufacturing engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001305443,0.0003192918,0.0001253858,0.0002985411,0.00008546957,0.0002782906,0.0001598787,0.0003219678,0.0009031886],"category_scores_gemma":[0.0003225217,0.0001285335,0.0002484861,0.0001527847,0.0002145334,0.0003422673,0.0002261323,0.0005363502,0.0002491199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001564808,"about_ca_system_score_gemma":0.00006085778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001833641,"about_ca_topic_score_gemma":0.0005420095,"domain_scores_codex":[0.9998579,0.00001505967,0.00001088262,0.00002359852,0.00006601821,0.00002651432],"domain_scores_gemma":[0.9998206,0.00005308305,0.00006245603,0.00002206894,0.00002258848,0.0000191609],"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":[0.00001581521,0.000007168163,0.0000772951,0.00002193661,0.000003043162,0.00003306361,0.00001315665,0.0002346228,0.9982967,0.0000475786,0.00001042365,0.001239089],"study_design_scores_gemma":[0.000001302778,0.00005403468,0.0008032711,0.000002156732,0.000005039264,0.00003368751,0.00000857462,0.0006318906,0.9980378,0.00001366078,0.0004054458,0.000003284104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943702,0.0003960968,0.003772697,0.00003182237,0.00001566629,0.000009813582,0.0000995351,0.0001383988,0.001165866],"genre_scores_gemma":[0.9962004,0.0002181182,0.002738711,0.00002057444,0.000003912949,0.000009139777,0.00006435387,0.00002095002,0.0007239125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009031886,"threshold_uncertainty_score":0.003021479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02136533516119817,"score_gpt":0.2342241377420565,"score_spread":0.2128588025808584,"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."}}