{"id":"W2091943974","doi":"10.4271/2015-01-1616","title":"MMLV: Life Cycle Assessment","year":2015,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"T-cell and Retrovirus Studies","field":"Immunology and Microbiology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Energy Technology Laboratory; U.S. Department of Energy","keywords":"Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034067,0.001624003,0.0006462627,0.003938001,0.0004841432,0.002077152,0.001883987,0.0008760961,0.03453954],"category_scores_gemma":[0.006214186,0.0006387822,0.001486394,0.003551898,0.0002600086,0.00178394,0.001168646,0.0009883624,0.01451482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002411995,"about_ca_system_score_gemma":0.002924804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01124654,"about_ca_topic_score_gemma":0.007535286,"domain_scores_codex":[0.9967418,0.000884629,0.0001603726,0.0002527276,0.001814589,0.0001457449],"domain_scores_gemma":[0.9969513,0.0005631485,0.0002138489,0.0003291852,0.001883593,0.00005891719],"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":[0.0005172543,0.0003700714,0.008435027,0.002426153,0.0002834114,0.0001634837,0.0002159501,0.1770762,0.006936771,0.02547743,0.248717,0.5293812],"study_design_scores_gemma":[0.0001658142,0.0006868076,0.01306594,0.001091655,0.0001865473,0.000186059,0.0002972472,0.2401864,0.01627557,0.01702876,0.7106515,0.0001777099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0579944,0.007409352,0.3543364,0.002223079,0.000680857,0.00454457,0.2562162,0.02854946,0.2880456],"genre_scores_gemma":[0.340844,0.005398825,0.3251142,0.0008495524,0.0002457109,0.008674955,0.2163372,0.005160113,0.09737543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03453954,"threshold_uncertainty_score":0.1155463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181415875911152,"score_gpt":0.2666420180728244,"score_spread":0.2485004304817093,"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."}}