{"id":"W4402846985","doi":"10.5267/j.ijiec.2024.7.001","title":"Pricing decision for recycling and remanufacturing supply chain considering consumer online consumption preferences and recycled products’ quality","year":2024,"lang":"en","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remanufacturing; Supply chain; Business; Consumption (sociology); Quality (philosophy); Environmental economics; Marketing; Industrial organization; Economics; Manufacturing engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007181956,0.000114939,0.0001634347,0.0002212568,0.00006105229,0.0001949095,0.0001195717,0.00006364142,0.00001211772],"category_scores_gemma":[0.000738972,0.0001050834,0.00004133394,0.00008556999,0.00004786987,0.0003030503,0.00009036543,0.0002105748,7.695116e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009638411,"about_ca_system_score_gemma":0.00001844459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005199433,"about_ca_topic_score_gemma":0.000009293365,"domain_scores_codex":[0.9988897,0.00003060876,0.0005132227,0.0001944299,0.0002627005,0.0001092771],"domain_scores_gemma":[0.9986897,0.0009931991,0.0001607,0.00005406692,0.00004628348,0.00005604787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001237268,0.0000601467,0.01935664,0.0000853216,0.0002600435,0.00002423456,0.0005324385,0.0961857,0.00469324,0.0007679004,0.0008402626,0.8770704],"study_design_scores_gemma":[0.004654725,0.0005331314,0.07992853,0.007151581,0.0003228662,0.0006724393,0.0005080391,0.8267767,0.01525267,0.01575364,0.04723566,0.001210022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8195921,0.000263911,0.1783972,0.0006133422,0.0008732099,0.0001600858,0.00001186259,0.00006457406,0.00002369274],"genre_scores_gemma":[0.9595179,0.0004663095,0.03966582,0.00002231939,0.0002842907,0.000004915961,0.000009413465,0.00001308316,0.00001596915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8758603,"threshold_uncertainty_score":0.4285178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06243692555971005,"score_gpt":0.32312515385132,"score_spread":0.26068822829161,"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."}}