{"id":"W3205439513","doi":"10.1093/ce/zkab023","title":"NRG COSIA Carbon XPRIZE: carbon-dioxide mineralization in recycled concrete wash water","year":2021,"lang":"en","type":"article","venue":"Clean Energy","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"CarbonCure Technologies (Canada)","funders":"","keywords":"Slurry; Cementitious; Cement; Calcium carbonate; Carbon dioxide; Mineralization (soil science); Compressive strength; Environmental science; Reuse; Waste management; Materials science; Environmental engineering; Chemistry; Metallurgy; Composite material; Engineering; Soil science; Soil water","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006048506,0.0003110648,0.0003112956,0.0004911106,0.0007457326,0.000535429,0.0007313013,0.000523349,0.001720686],"category_scores_gemma":[0.0003643797,0.0001411149,0.0002651284,0.0003690686,0.0004492272,0.0002196482,0.0003161727,0.0003130405,0.000426306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003511423,"about_ca_system_score_gemma":0.002728346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1890495,"about_ca_topic_score_gemma":0.3337935,"domain_scores_codex":[0.9994331,0.00004887184,0.00001852185,0.00007113842,0.0003571296,0.00007124691],"domain_scores_gemma":[0.9997599,0.00003153164,0.00002522827,0.00001772202,0.0001233354,0.00004222535],"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":[0.0009815656,0.0004572054,0.007932716,0.000237072,0.00003291514,0.0004661664,0.0002270833,0.0118472,0.9380097,0.0002114105,0.0006215289,0.03897546],"study_design_scores_gemma":[0.00009863523,0.001502591,0.0293492,0.00001505517,0.00003231428,0.0001457793,0.0001918862,0.009686154,0.9541403,0.00004258653,0.004768624,0.00002689136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944193,0.0001975896,0.001549902,0.00004373085,0.00001107648,0.0001547522,0.0001605213,0.0001096119,0.003353518],"genre_scores_gemma":[0.989003,0.0001530727,0.004216471,0.00001713252,0.000002195272,0.00004190977,0.0001913237,0.00002409374,0.006350823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1890495,"threshold_uncertainty_score":0.3758982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009910858904870411,"score_gpt":0.2125168443041539,"score_spread":0.2026059853992835,"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."}}