{"id":"W2163231468","doi":"10.1007/s11367-012-0489-5","title":"Identifying best existing practice for characterization modeling in life cycle impact assessment","year":2012,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":675,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Characterization (materials science); Life-cycle assessment; Computer science; Reliability engineering; Engineering; Materials science; Nanotechnology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02485314,0.00285492,0.002506479,0.005687649,0.001948168,0.009671811,0.008060135,0.003670348,0.002360595],"category_scores_gemma":[0.09671765,0.001611992,0.002258533,0.00446954,0.002162669,0.01246241,0.003589782,0.003873138,0.002037104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00378634,"about_ca_system_score_gemma":0.006827064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01119667,"about_ca_topic_score_gemma":0.01532392,"domain_scores_codex":[0.9803366,0.008188562,0.002168521,0.002420194,0.006203819,0.0006822437],"domain_scores_gemma":[0.9293084,0.02733229,0.004454743,0.02042511,0.01790201,0.0005774156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002339308,0.00115583,0.02539579,0.003396567,0.0007452499,0.0002626182,0.001344088,0.3077126,0.009800273,0.06944435,0.008901734,0.5716071],"study_design_scores_gemma":[0.00006789791,0.0002754631,0.004666596,0.003400156,0.0005021212,0.0002725598,0.001525567,0.7642667,0.02104428,0.1622719,0.04149028,0.0002165513],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02152046,0.001754008,0.9614197,0.001855858,0.00008172342,0.0003495711,0.000674813,0.002694266,0.009649556],"genre_scores_gemma":[0.2468829,0.002320186,0.7465358,0.0003358524,0.00004291338,0.0005367406,0.001529109,0.0007053977,0.001111224],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02485314,"threshold_uncertainty_score":0.1314375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05996091326998313,"score_gpt":0.4037488930782351,"score_spread":0.3437879798082519,"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."}}