{"id":"W2972261733","doi":"10.1007/s11367-019-01676-w","title":"(Sprayed) concrete production in life cycle assessments: a systematic literature review","year":2019,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Recycled Aggregate Concrete Performance","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Österreichische Forschungsförderungsgesellschaft; Conselho Nacional de Desenvolvimento Científico e Tecnológico; TU Graz, Internationale Beziehungen und Mobilitätsprogramme","keywords":"Comparability; Life-cycle assessment; Documentation; Computer science; Environmental science; Environmental impact assessment; Production (economics); Systematic review; Status quo; Civil engineering; Construction engineering; Architectural engineering; Engineering; Mathematics; Political science","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":[0.001986505,0.0002490668,0.0006279746,0.0002429043,0.00003219207,0.0001852685,0.001002827,0.00007203175,0.0001301937],"category_scores_gemma":[0.0003531638,0.000172407,0.0001842869,0.0003432186,0.00002697531,0.0009042823,0.00009487865,0.0006935936,0.00005894211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004989825,"about_ca_system_score_gemma":0.0002097028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004521718,"about_ca_topic_score_gemma":0.000002622342,"domain_scores_codex":[0.9968783,0.0002135827,0.001319362,0.0002237106,0.001116446,0.0002485554],"domain_scores_gemma":[0.9980406,0.0001913977,0.0006693887,0.0004970175,0.0004692642,0.0001323697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0009362493,0.0003800517,0.04000823,0.1923355,0.01096843,0.001095014,0.004019598,0.6556232,0.04010699,0.003989908,0.03143248,0.01910436],"study_design_scores_gemma":[0.006862196,0.0007008411,0.03649032,0.4737029,0.0006105066,0.002715003,0.001485369,0.4666964,0.001943241,0.0008551339,0.006102678,0.001835416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9339483,0.04993811,0.0003722897,0.005988361,0.005392713,0.001231642,0.00001113743,0.00007278022,0.003044675],"genre_scores_gemma":[0.9626744,0.03498076,0.0006593217,0.0009481248,0.0005509187,0.00004507385,0.000009119848,0.00003926783,0.00009300731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2813674,"threshold_uncertainty_score":0.7030554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001974068432553,"score_gpt":0.2897205162906309,"score_spread":0.2797007756063054,"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."}}