{"id":"W2022328954","doi":"10.1007/s11367-010-0224-z","title":"Life cycle assessment of nine recovery methods for end-of-life tyres","year":2010,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Life-cycle assessment; Strengths and weaknesses; Maturity (psychological); Product life-cycle management; Operations management; Engineering; Impact assessment; Risk analysis (engineering); Process management; Operations research; Business; Production (economics); Mechanical engineering; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003348202,0.0002036556,0.000440325,0.00009411452,0.00009427773,0.00005338803,0.001130901,0.00008541679,0.00294962],"category_scores_gemma":[0.001167725,0.0001449249,0.0003523362,0.0001104112,0.0003922978,0.0004774109,0.0004238375,0.0004292387,0.000004074102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004286969,"about_ca_system_score_gemma":0.0004583582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002702458,"about_ca_topic_score_gemma":0.00004774042,"domain_scores_codex":[0.9970644,0.0002509685,0.00112635,0.0002074605,0.001084545,0.0002662729],"domain_scores_gemma":[0.9970673,0.0008946048,0.001205978,0.0003633236,0.000123327,0.000345427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001224654,0.00370959,0.5612826,0.0001091238,0.001796036,0.00001467802,0.0009425913,0.08283018,0.2126639,0.004947936,0.005630331,0.1248484],"study_design_scores_gemma":[0.002200827,0.0007823138,0.9504688,0.00004475964,0.0001252586,0.00003028531,0.001175912,0.02015442,0.00684852,0.009631434,0.008244609,0.0002927963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9579388,0.00006515736,0.03149957,0.005032412,0.001146774,0.0003289603,0.00004218637,0.000007501674,0.003938593],"genre_scores_gemma":[0.9134756,0.00008160643,0.08524455,0.0007629584,0.0002566736,0.00001611591,0.000006581458,0.00002053216,0.000135329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3891862,"threshold_uncertainty_score":0.9979618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029856600732335,"score_gpt":0.3942761210100643,"score_spread":0.3739775550027409,"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."}}