{"id":"W4366827993","doi":"10.1007/s11367-023-02165-x","title":"Novel bottom-up methodology to build the lifecycle inventory of unit operations: the impact of macroscopic components","year":2023,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Université de Sherbrooke","funders":"National Research Council Canada","keywords":"Context (archaeology); Carbon footprint; Heat exchanger; Distillation; Process engineering; Air separation; Environmental science; Methanol; Waste management; Engineering; Greenhouse gas; Mechanical engineering; Computer science; Chemistry","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":[0.0008976391,0.001454892,0.001271122,0.002411575,0.0007467676,0.002572679,0.00186868,0.0007066194,0.005728413],"category_scores_gemma":[0.002850575,0.0008304659,0.001448146,0.002036969,0.0005771079,0.002093269,0.001367304,0.001509324,0.001519042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235322,"about_ca_system_score_gemma":0.003549373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01043836,"about_ca_topic_score_gemma":0.01494691,"domain_scores_codex":[0.9990528,0.0001390926,0.00004577924,0.0001439918,0.0005070541,0.0001112576],"domain_scores_gemma":[0.998498,0.0004688167,0.0001040361,0.000305355,0.0005637904,0.00006002147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001082633,0.000310753,0.003439796,0.0004138214,0.0001724082,0.0002263516,0.0001445348,0.5951875,0.01931543,0.02727354,0.003160028,0.3502475],"study_design_scores_gemma":[0.000006454244,0.00004973112,0.0005023743,0.00002238395,0.00003525045,0.00004512529,0.00003273568,0.9812632,0.004540456,0.01140474,0.002079773,0.00001774036],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01232497,0.0001802611,0.9819031,0.00007859876,0.00005102417,0.0001871336,0.0005309291,0.001013341,0.003730749],"genre_scores_gemma":[0.2345209,0.0002781233,0.7590277,0.00006955722,0.00004053006,0.000301078,0.001338949,0.0002984701,0.004124663],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01043836,"threshold_uncertainty_score":0.02075517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1153786859815962,"score_gpt":0.4380925025706733,"score_spread":0.3227138165890771,"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."}}