{"id":"W2497295814","doi":"10.1016/j.jclepro.2016.08.012","title":"Production of cement-free construction blocks from industry wastes","year":2016,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; ArcelorMittal","keywords":"Cement; Production (economics); Construction industry; Waste management; Business; Engineering; Manufacturing engineering; Construction engineering; Materials science; Economics; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002604694,0.0005358686,0.000453089,0.000613376,0.0004473864,0.0005466137,0.0003723845,0.0003692285,0.001414687],"category_scores_gemma":[0.0002835569,0.0002255621,0.0005505062,0.0005715082,0.0003315387,0.0003410082,0.0004777409,0.0005597133,0.000743845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003520734,"about_ca_system_score_gemma":0.0009144311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001506438,"about_ca_topic_score_gemma":0.004109662,"domain_scores_codex":[0.999759,0.0000295615,0.00001117451,0.00002404901,0.0001033313,0.0000728958],"domain_scores_gemma":[0.9998516,0.00003047229,0.00002177117,0.00002476175,0.00002584988,0.00004550397],"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":[0.0001905899,0.0001056529,0.0004354083,0.0001038513,0.00001278796,0.0002038765,0.00006303981,0.001468517,0.9908274,0.000278395,0.00007989952,0.006230696],"study_design_scores_gemma":[0.00001603447,0.0002278904,0.002191579,0.000009243436,0.00002131515,0.00006466101,0.0000280051,0.000679001,0.995351,0.00006214814,0.001344212,0.000004856796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921874,0.0004189662,0.00262653,0.00003640312,0.0000148967,0.00002762571,0.0001540642,0.00004209254,0.004492115],"genre_scores_gemma":[0.9938741,0.0003606251,0.002398861,0.000006405239,0.000003458404,0.00001270052,0.0002957148,0.00002238789,0.003025666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001506438,"threshold_uncertainty_score":0.004732609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553218821664666,"score_gpt":0.2309449266587582,"score_spread":0.2154127384421116,"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."}}