{"id":"W4387984329","doi":"10.2139/ssrn.4614831","title":"Exergetic, Exergoeconomic and Exergoenvironmental Assessments of Chlorine Family Thermochemical Cycles: A Parametric Study","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Chemical Thermodynamics and Molecular Structure","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Chlorine; Parametric statistics; Environmental science; Thermodynamics; Engineering; Mathematics; Chemistry; Statistics; Physics","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":[0.0006717818,0.0004318214,0.000427237,0.0005739272,0.0003260604,0.0008606817,0.000633394,0.0006877299,0.00187761],"category_scores_gemma":[0.002377063,0.0001889176,0.0007670018,0.0006356764,0.0006577357,0.0009404239,0.000772242,0.0004952373,0.00009913457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004817691,"about_ca_system_score_gemma":0.0003305694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001934488,"about_ca_topic_score_gemma":0.001418315,"domain_scores_codex":[0.9998471,0.00004767013,0.000005717636,0.00002196594,0.00005073171,0.00002682043],"domain_scores_gemma":[0.9990315,0.000732368,0.00005698343,0.00008178091,0.00007673014,0.00002069953],"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":[0.0002885073,0.0001482383,0.004230196,0.0001180576,0.00003500008,0.0002183395,0.00007772908,0.9631456,0.01344564,0.005454583,0.0001923393,0.01264577],"study_design_scores_gemma":[0.00001527811,0.0002619014,0.003481754,0.000007692272,0.00002713178,0.00008679652,0.00008011367,0.984735,0.007899524,0.003126142,0.0002623714,0.00001622831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823859,0.0003019584,0.01049147,0.000071765,0.000006937322,0.00003008642,0.0002531079,0.00002764854,0.00643121],"genre_scores_gemma":[0.9991309,0.00004856639,0.000348771,0.00000243998,0.000001500464,0.000009710091,0.00003250276,0.000004613325,0.0004208915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001934488,"threshold_uncertainty_score":0.006281197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546765226339011,"score_gpt":0.2774934765449089,"score_spread":0.2620258242815188,"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."}}