{"id":"W4405661859","doi":"10.2139/ssrn.5064773","title":"Model-Based Process Design Optimization of DAC to Minimize Costs: Accounting for Diurnal Variations in Ambient Temperature and Relative Humidity","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Process Optimization and Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Relative humidity; Process (computing); Environmental science; Process engineering; Humidity; Accounting; Materials science; Computer science; Meteorology; Engineering; Business; Geography","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":[0.0007156617,0.0009324409,0.001280144,0.0004791969,0.0005602855,0.001575455,0.0007895134,0.0008934104,0.002395017],"category_scores_gemma":[0.001240414,0.000594945,0.0008970359,0.0005720704,0.0003324464,0.0006837952,0.0004651201,0.0009681816,0.000300539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272817,"about_ca_system_score_gemma":0.00198106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00975949,"about_ca_topic_score_gemma":0.01228722,"domain_scores_codex":[0.9996268,0.0000913311,0.00001213883,0.00007419305,0.0001342061,0.00006130832],"domain_scores_gemma":[0.9996025,0.0001701224,0.00005027447,0.00002944888,0.0001326652,0.00001501107],"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":[0.00002747788,0.00001922056,0.0001355046,0.00003327419,0.000009741965,0.000009839443,0.000008719684,0.9921579,0.00153752,0.0004204132,0.0001083163,0.005532121],"study_design_scores_gemma":[0.000002954999,0.00001812792,0.00006462944,0.000001858976,0.000004832064,0.000003517978,0.000003401718,0.9987788,0.0007926207,0.0001852817,0.0001420209,0.000001894107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1215177,0.0008745402,0.8600098,0.0003540923,0.00007992118,0.0001433775,0.0002186972,0.0008139454,0.01598791],"genre_scores_gemma":[0.9603021,0.0001730902,0.03692415,0.00003649298,0.00001001404,0.0001020596,0.00007625567,0.00005920662,0.002316723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00975949,"threshold_uncertainty_score":0.01940536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058266863445316,"score_gpt":0.2515440541663809,"score_spread":0.2409613855319277,"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."}}