{"id":"W2968645565","doi":"10.1016/j.energy.2019.115947","title":"Exergetic and exergoeconomic analyses of novel methanol synthesis processes driven by offshore renewable energies","year":2019,"lang":"en","type":"article","venue":"Energy","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"Ministero dello Sviluppo Economico","keywords":"Methanol; Renewable energy; Exergy; Context (archaeology); Environmental science; Methane; Waste management; Environmental engineering; Submarine pipeline; Production (economics); Process engineering; Engineering; Chemistry; Economics","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":[0.0001295966,0.0002998001,0.0003165667,0.000398849,0.0001972565,0.0003524393,0.0003577494,0.0002692693,0.002347336],"category_scores_gemma":[0.0002044437,0.0001589895,0.0003969169,0.0002718338,0.0002345049,0.000390664,0.0002376457,0.0003345273,0.0002026495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000551096,"about_ca_system_score_gemma":0.0003100162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002047351,"about_ca_topic_score_gemma":0.002717984,"domain_scores_codex":[0.9999639,0.000003562834,0.000002242119,0.000005800018,0.00001540909,0.00000917169],"domain_scores_gemma":[0.9999402,0.00003521177,0.00000665594,0.000003737976,0.00001021371,0.00000393299],"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":[0.00118462,0.0005150952,0.007874609,0.0005282526,0.0001166658,0.0006148525,0.00008163285,0.6371121,0.3141824,0.01416479,0.0003511993,0.02327383],"study_design_scores_gemma":[0.00004200447,0.0002495626,0.008128165,0.000007589777,0.00003028707,0.00006198316,0.00008986155,0.8991883,0.08899017,0.00234706,0.000849565,0.00001548746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845229,0.0004350257,0.008619302,0.000070773,0.00001137254,0.0000286422,0.0002555521,0.00003133171,0.006025058],"genre_scores_gemma":[0.9983481,0.0001557966,0.0005836617,0.00000348575,0.000001847033,0.00001498191,0.00008853582,0.000004367967,0.0007991942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002347336,"threshold_uncertainty_score":0.007852674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196317233578328,"score_gpt":0.2166778797421022,"score_spread":0.2047147074063189,"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."}}