{"id":"W2909658198","doi":"10.1109/epec.2018.8598319","title":"Uncertanty Analysis of Project Emissions","year":2018,"lang":"en","type":"article","venue":"","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Ontario Centres of Excellence","keywords":"Greenhouse gas; Probabilistic logic; Climate change; Plan (archaeology); Bayesian network; Environmental science; Global warming; Computer science; Environmental economics; Environmental resource management; Operations research; Engineering; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00153786,0.00007068116,0.0003882012,0.001009158,0.0001295015,0.0000421103,0.0004877599,0.00004602357,0.008407748],"category_scores_gemma":[0.001146018,0.00003847547,0.0004176664,0.009538423,0.0001747224,0.0001133956,0.00008222418,0.00003898186,0.0002249192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009032757,"about_ca_system_score_gemma":0.00008098446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007353731,"about_ca_topic_score_gemma":0.001547535,"domain_scores_codex":[0.9978918,0.0001225458,0.0005736157,0.0003139011,0.0009607801,0.0001372974],"domain_scores_gemma":[0.9978538,0.0006004559,0.0001831915,0.0007323353,0.0005651999,0.00006508258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001217471,0.0002692561,0.6648749,0.000001828151,0.003374728,0.000004498115,0.00381222,0.001109174,0.003531725,0.01306963,0.1077686,0.2020617],"study_design_scores_gemma":[0.0004193578,0.0003005571,0.4726251,0.000009736726,0.004027955,0.000001638456,0.007830036,0.3220318,0.007353943,0.03727616,0.1476166,0.0005071383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6726424,0.00007917143,0.05678034,0.00172315,0.0001624441,0.000116721,0.00004556569,0.00005228524,0.268398],"genre_scores_gemma":[0.9808975,0.00003487853,0.002548898,0.00009282065,0.00003271519,0.000001278511,0.000002988313,0.000002125872,0.01638679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3209226,"threshold_uncertainty_score":0.9924987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1818382549785706,"score_gpt":0.4739365450302341,"score_spread":0.2920982900516635,"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."}}