{"id":"W2901490553","doi":"10.1007/s11367-018-1559-0","title":"Regionalization in LCA: current status in concepts, software and databases—69th LCA forum, Swiss Federal Institute of Technology, Zurich, 13 September, 2018","year":2018,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Database; Current (fluid); Engineering; Computer science; Electrical engineering","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":[0.0005995061,0.0001337236,0.0002068827,0.0001494207,0.00006581299,0.0000307273,0.0004112643,0.00004368546,0.00024239],"category_scores_gemma":[0.0001792235,0.0001015035,0.00004806745,0.0002062819,0.0006842536,0.0006734925,0.0004321224,0.0002511418,0.000005882522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008597227,"about_ca_system_score_gemma":0.000126154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006011073,"about_ca_topic_score_gemma":0.001577957,"domain_scores_codex":[0.9982826,0.00008796972,0.0005945816,0.0001759052,0.0006276529,0.0002312913],"domain_scores_gemma":[0.999193,0.00006770232,0.0004177544,0.0001750637,0.00005278968,0.00009372598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001020742,0.000351485,0.9837466,0.000009330064,0.00003026226,0.00001296999,0.0002582971,0.001930917,0.0004630403,0.000515351,0.001253234,0.01132644],"study_design_scores_gemma":[0.001554073,0.0001882039,0.9733296,0.0001174345,0.00001076252,0.00003549519,0.001236993,0.001869172,0.0003131839,0.004479389,0.0167278,0.0001379106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921557,0.0003369565,0.003998924,0.002474775,0.0004304828,0.0001954808,0.00002016897,0.00000627971,0.0003812134],"genre_scores_gemma":[0.9969907,0.0003646101,0.002291945,0.0002219799,0.00007366294,0.000006571673,0.00001314765,0.000008463009,0.00002896566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01547456,"threshold_uncertainty_score":0.4139193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799493902841951,"score_gpt":0.3415717204143907,"score_spread":0.3235767813859712,"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."}}