{"id":"W2142366700","doi":"10.1504/ijpse.2012.051028","title":"Risk-based performance analysis for regional hybrid fuel with compressed natural gas option","year":2012,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Compressed natural gas; Natural gas; Gasoline; Engineering; Process (computing); Transport engineering; Civil engineering; Environmental science; Environmental economics; Computer science; Waste management; Economics; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002043573,0.0001636108,0.0002548428,0.0004241448,0.00002908074,0.0000672712,0.0002665639,0.00004256219,0.00000420904],"category_scores_gemma":[0.00002275843,0.0001318138,0.000126014,0.0002408532,0.000009114475,0.0005250241,0.000005377444,0.0002614352,6.973236e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001529134,"about_ca_system_score_gemma":0.00002815951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003481995,"about_ca_topic_score_gemma":5.600916e-7,"domain_scores_codex":[0.9988475,0.000008503383,0.0003868553,0.00007836105,0.0004476273,0.0002311508],"domain_scores_gemma":[0.9989945,0.0000646419,0.0002427549,0.0000718334,0.0005362944,0.00009000207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006638184,0.00001408397,0.0157229,0.0002127044,0.0009288969,0.000002678108,0.00008346192,0.9815351,0.000735058,0.00006491882,0.00007152869,0.0005622758],"study_design_scores_gemma":[0.0006837052,0.00005816953,0.01130825,0.0001622918,0.0001817948,0.0001918053,0.00002743038,0.9826418,0.003303667,0.000005916682,0.001261417,0.00017375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6541526,0.00178414,0.342999,0.00001883081,0.0008736043,0.00008888806,0.00001413772,0.00005034315,0.00001838973],"genre_scores_gemma":[0.9963324,0.00005697398,0.002623446,0.000009107864,0.0009036477,0.00001602372,0.00002135579,0.0000299004,0.000007162241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3421797,"threshold_uncertainty_score":0.5375209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005550036129626395,"score_gpt":0.2063259285372291,"score_spread":0.2007758924076027,"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."}}