{"id":"W4236040061","doi":"10.2139/ssrn.3957824","title":"Global Optimization of a Hybrid Waste Tire and Natural Gas Feedstock Polygeneration System","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Raw material; Waste management; Natural gas; Environmental science; Process engineering; Engineering; Chemistry","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":[0.0004913009,0.0008807091,0.001472894,0.0005223229,0.0006944991,0.001398103,0.0006634598,0.00169312,0.00388306],"category_scores_gemma":[0.0004830946,0.0004875986,0.0006509213,0.0006531358,0.000607896,0.000536721,0.0008943625,0.0005517033,0.0003119602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008547654,"about_ca_system_score_gemma":0.001194116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01355352,"about_ca_topic_score_gemma":0.01092116,"domain_scores_codex":[0.9998428,0.00004217706,0.000004843721,0.00003303671,0.00003103334,0.00004612684],"domain_scores_gemma":[0.9998086,0.00009785721,0.00002178402,0.00001100741,0.0000402047,0.00002051942],"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":[0.00005753929,0.00002000066,0.0001356386,0.000023302,0.00001272074,0.00003868952,0.000006982159,0.9959067,0.0009365187,0.0003534218,0.0001125435,0.002395961],"study_design_scores_gemma":[0.00002007696,0.00008102882,0.0001810422,0.000002680757,0.00001086495,0.000006587555,0.0000133385,0.9987383,0.0005169219,0.0002288833,0.0001960749,0.00000421902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6665943,0.0008344058,0.2917841,0.0005710735,0.0001116376,0.0001547662,0.0005190208,0.0005317843,0.03889884],"genre_scores_gemma":[0.9857045,0.0001001725,0.006856492,0.00003505632,0.000007402603,0.00007293792,0.00009672154,0.00002337674,0.007103247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01355352,"threshold_uncertainty_score":0.02694929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001779155158504635,"score_gpt":0.1707766380422325,"score_spread":0.1689974828837279,"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."}}