{"id":"W4402205494","doi":"10.1016/j.jclepro.2024.143564","title":"Methodology for material flow analysis at the organizational scale","year":2024,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Québec Ministère du Développement Durable, de l’Environnement et de la Lutte Contre les Changements Climatiques","keywords":"Computer science; Material flow analysis; Bootstrapping (finance); Circular economy; Industrial engineering; Monte Carlo method; Scale (ratio); Scenario analysis; Management science; Focus (optics); Data science; Risk analysis (engineering); Operations research; Engineering; Econometrics","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":[0.00555975,0.001207495,0.0008810107,0.005277923,0.001190231,0.002635416,0.002421841,0.001612982,0.01040218],"category_scores_gemma":[0.01316341,0.0007566697,0.002762522,0.003895609,0.001324474,0.002372514,0.002650874,0.002061955,0.0027111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001314751,"about_ca_system_score_gemma":0.003916375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002983618,"about_ca_topic_score_gemma":0.002538561,"domain_scores_codex":[0.9965708,0.00140932,0.0003084661,0.000558006,0.0009665383,0.0001867476],"domain_scores_gemma":[0.992409,0.004530179,0.0008233209,0.0009888316,0.001127308,0.0001213732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005943386,0.0003003444,0.006005093,0.001271388,0.0002478675,0.0005349009,0.001101443,0.186708,0.007302843,0.5298514,0.006344983,0.2602724],"study_design_scores_gemma":[0.00004915342,0.0001869641,0.002466824,0.0003233658,0.0000840166,0.0003920137,0.0007045359,0.5483959,0.005728706,0.3799736,0.06159854,0.0000963641],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006406005,0.0000334532,0.9975603,0.00004698346,0.00001219353,0.0002294973,0.00019228,0.0001771819,0.001107547],"genre_scores_gemma":[0.01909491,0.0001145927,0.9779068,0.00004391926,0.00002269116,0.00146621,0.0005173683,0.00008077188,0.0007527561],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01040218,"threshold_uncertainty_score":0.03479874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693325574965363,"score_gpt":0.2836669515650845,"score_spread":0.2667336958154309,"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."}}