{"id":"W4225309461","doi":"10.5802/crchim.177","title":"Optimized diffusion–convection compromise for reversible CO <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:msub> <mml:mrow/> <mml:mn>2</mml:mn> </mml:msub> </mml:math> capture on hydroxylated organo-montmorillonite","year":2022,"lang":"lv","type":"article","venue":"Comptes Rendus Chimie","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Diffusion; Thermodynamics; Physics","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":[0.0004729223,0.0006291503,0.0007231971,0.0003308125,0.000464831,0.0008878321,0.0007976837,0.0006856832,0.002008501],"category_scores_gemma":[0.0008777216,0.0003056171,0.0002811492,0.000310572,0.0003128532,0.0007238731,0.0005856457,0.0007534515,0.0007684247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009655516,"about_ca_system_score_gemma":0.00055053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001712438,"about_ca_topic_score_gemma":0.003520652,"domain_scores_codex":[0.9997079,0.00002113639,0.00002573995,0.0001033159,0.00007012443,0.00007177089],"domain_scores_gemma":[0.999729,0.0001064557,0.00004552586,0.00002141936,0.00006799559,0.00002959485],"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":[0.000299664,0.00008481147,0.0003309243,0.0001526144,0.00001427511,0.00008016415,0.00005553497,0.003639068,0.985707,0.001249089,0.0005917291,0.00779517],"study_design_scores_gemma":[0.00004231709,0.0002358843,0.0003337805,0.000009409697,0.00001443578,0.00003762041,0.00003180101,0.04644961,0.9486589,0.0002281531,0.003928642,0.00002938847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9295815,0.003371212,0.05428131,0.0007554452,0.0002282324,0.0002007955,0.0006140581,0.001162004,0.009805408],"genre_scores_gemma":[0.979123,0.0006185002,0.01736937,0.00006781099,0.00001352851,0.0001799974,0.000216021,0.0001090893,0.002302693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002008501,"threshold_uncertainty_score":0.007005572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558642684257825,"score_gpt":0.2214308747045703,"score_spread":0.205844447861992,"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."}}