{"id":"W4403466580","doi":"10.1021/acs.jpclett.4c02372","title":"Modulating the Amine–CO<sub>2</sub> Interaction Strength: Toward Efficient Carbon Capture","year":2024,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry Letters","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; State Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of Sciences; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Deutsche Forschungsgemeinschaft","keywords":"Amine gas treating; Carbon fibers; Environmental science; Chemical engineering; Materials science; Engineering; Environmental engineering; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008868435,0.0001811219,0.0001773241,0.00006234029,0.0001127793,0.0001951833,0.0002593607,0.0002332017,0.001051304],"category_scores_gemma":[0.0002217756,0.00009052591,0.00006449655,0.00006209767,0.0002799506,0.0003204923,0.0002017388,0.0002205452,0.00015152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001498285,"about_ca_system_score_gemma":0.0001080372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003407602,"about_ca_topic_score_gemma":0.0008417027,"domain_scores_codex":[0.9999467,0.000006272242,0.000002012287,0.00000951196,0.00002447118,0.00001100091],"domain_scores_gemma":[0.9999304,0.00003442909,0.0000151285,0.000003996807,0.00001036687,0.000005639187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006366584,0.00001670559,0.0003052424,0.00007797073,0.000006319319,0.00002984516,0.00001856763,0.001078696,0.9952202,0.000481919,0.00004775888,0.002653046],"study_design_scores_gemma":[0.00001005492,0.0001070277,0.001461616,0.000003354206,0.00001083796,0.00006418696,0.00003257642,0.02064247,0.9763246,0.0002040887,0.001130411,0.000008871085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870189,0.000446345,0.01018356,0.0001155444,0.00001763357,0.00001060252,0.000023448,0.00005422593,0.002129726],"genre_scores_gemma":[0.9967433,0.0001463572,0.002829118,0.00002440791,0.000002571138,0.000003950886,0.00001337303,0.000006580417,0.0002304349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001051304,"threshold_uncertainty_score":0.003516972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006801878242302304,"score_gpt":0.2120666241456192,"score_spread":0.2052647459033169,"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."}}