{"id":"W4391025549","doi":"10.1680/jadcr.23.00195","title":"Utilisation of local raw materials and mine waste to manufacture cement in the Northwest Territories, Canada","year":2024,"lang":"en","type":"article","venue":"Advances in Cement Research","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Northwest Territories; University of Alberta","funders":"","keywords":"Cement; Tailings; Raw material; Carbon footprint; Portland cement; Environmental science; Waste management; Clinker (cement); Mining engineering; Metallurgy; Geology; Greenhouse gas; Engineering; Materials science","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":[0.000270424,0.0002137247,0.0001808106,0.001080369,0.002194861,0.001327995,0.0003524258,0.0001455852,0.001791054],"category_scores_gemma":[0.0002937731,0.0001517023,0.0002474361,0.002342541,0.0007098628,0.0002744241,0.0004468837,0.0002362572,0.0002083876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01800505,"about_ca_system_score_gemma":0.02540689,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9823137,"about_ca_topic_score_gemma":0.9973136,"domain_scores_codex":[0.9996184,0.00002940013,0.00001115585,0.00005657212,0.0001581634,0.000126217],"domain_scores_gemma":[0.9996716,0.00002298163,0.0000410278,0.00001039737,0.0001969432,0.00005705927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007898121,0.0003949684,0.6236193,0.001302686,0.0002001558,0.006086302,0.009415125,0.00573705,0.09335471,0.007536623,0.005641067,0.2459221],"study_design_scores_gemma":[0.00002006266,0.0003106277,0.8523067,0.000324744,0.0001389315,0.001260769,0.02772262,0.002478131,0.03082476,0.0004089261,0.08410203,0.0001017058],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728862,0.001919071,0.0006024913,0.0002009366,0.000007910468,0.00005264859,0.001030547,0.00002010872,0.02328011],"genre_scores_gemma":[0.9841526,0.002405489,0.00219699,0.00005319473,0.000001168109,0.00001039639,0.0006134889,0.00001229873,0.0105544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01800505,"threshold_uncertainty_score":0.1306364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099300570923858,"score_gpt":0.3137888966305654,"score_spread":0.2927958909213268,"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."}}