{"id":"W2052009796","doi":"10.4028/www.scientific.net/amm.101-102.1059","title":"Structure and Support of Ecological Chain in Manufacturing Industry Based on Green Re-Manufacturing","year":2011,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Sustainable Industrial Ecology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Economic shortage; Business; Safeguard; Incentive; Manufacturing; Environmental pollution; Industrial organization; Manufacturing engineering; Engineering; Environmental protection; Environmental science; Marketing; Government (linguistics); International trade; Economics","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":[0.0003123892,0.0002011712,0.0003820985,0.000156384,0.00002920934,0.00001556522,0.0001011411,0.0005988879,0.0006639057],"category_scores_gemma":[0.00001183998,0.0001882139,0.00001335082,0.00003770598,0.00001792663,0.00003778331,0.00008113763,0.0002666221,0.000001349432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005862278,"about_ca_system_score_gemma":0.00002151641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007166133,"about_ca_topic_score_gemma":0.00002997247,"domain_scores_codex":[0.9990112,0.00002637692,0.0003289774,0.0002372261,0.00007933731,0.0003168503],"domain_scores_gemma":[0.9996245,0.00005570225,0.00007211732,0.0001643511,0.000007138822,0.00007617461],"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":[0.003459932,0.0007052982,0.000342829,0.005238928,0.0005081565,0.001154737,0.005902622,0.01866857,0.6335769,0.2655889,0.0006885179,0.06416459],"study_design_scores_gemma":[0.001043099,0.0001664467,0.002052397,0.00001877653,0.00001772049,0.00000576857,0.0002191281,0.0004532398,0.9735383,0.02204711,0.0001881513,0.0002498448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99828,0.000004066071,0.0002007466,0.0000280396,0.0002284224,0.0003792485,0.00003561932,0.00006043453,0.0007833542],"genre_scores_gemma":[0.9990854,0.00001016235,0.0006378283,0.0001292928,0.00005324839,0.00003361049,0.00001004267,0.00002945922,0.00001092188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3399614,"threshold_uncertainty_score":0.7675142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683472246372207,"score_gpt":0.1988190594111141,"score_spread":0.181984336947392,"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."}}