{"id":"W4394676825","doi":"10.1007/978-3-031-45565-0_12","title":"Green Technology Choice for Deep Decarbonization","year":2024,"lang":"en","type":"book-chapter","venue":"Springer series in supply chain management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Materials science; Process engineering; Environmental science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005079403,0.0006191195,0.0004419275,0.0004858968,0.0004918548,0.002254985,0.0005757147,0.001468018,0.0255245],"category_scores_gemma":[0.0007727311,0.0002382528,0.000388033,0.0008164389,0.002132493,0.004609099,0.001763362,0.002799319,0.0030028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001876694,"about_ca_system_score_gemma":0.0009817315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005257031,"about_ca_topic_score_gemma":0.001199867,"domain_scores_codex":[0.9997134,0.00005324603,0.000007319203,0.00005341774,0.0001351725,0.00003751979],"domain_scores_gemma":[0.9997993,0.00009276219,0.00001536219,0.00004172412,0.00002893115,0.0000218788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001703583,0.00002710318,0.00004376358,0.0000966044,0.00000840517,0.00003053174,0.00006956721,0.002557767,0.001349225,0.9259204,0.01499058,0.05488896],"study_design_scores_gemma":[0.000003007806,0.00001327623,0.00007468245,0.00007955776,0.000003739564,0.00002249541,0.00005850126,0.001877154,0.0007870076,0.8641517,0.1329217,0.00000722692],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01199538,0.02529144,0.05868945,0.01611459,0.002280111,0.00004220185,0.0001434933,0.000199209,0.8852441],"genre_scores_gemma":[0.3407776,0.02912348,0.02246688,0.00364689,0.001246775,0.0001060628,0.0001465018,0.0004088905,0.602077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0255245,"threshold_uncertainty_score":0.08538795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005968135814540829,"score_gpt":0.2189129426749159,"score_spread":0.2129448068603751,"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."}}