{"id":"W7117410860","doi":"10.1016/j.cis.2025.103771","title":"Thermo/photo-responsive porous organic frameworks for sustainable gas separation and bio-applications","year":2025,"lang":"en","type":"article","venue":"Advances in Colloid and Interface Science","topic":"Covalent Organic Framework Applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Hubei Three Gorges Laboratory; Natural Sciences and Engineering Research Council of Canada; Key Research and Development Project of Hainan Province; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Metal-organic framework; Porosity; Porous medium; Characterization (materials science); Covalent organic framework; Conceptual framework","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006854028,0.0001457359,0.0001746966,0.0002166748,0.0005544763,0.0002674468,0.0004357298,0.0001107335,0.00007134787],"category_scores_gemma":[0.000563472,0.0001385384,0.00001520807,0.001402725,0.0007922074,0.000947789,0.0002664345,0.000188007,0.000009796135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001771669,"about_ca_system_score_gemma":0.0002882712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001817798,"about_ca_topic_score_gemma":0.00006837155,"domain_scores_codex":[0.9985114,0.0000282359,0.0002706093,0.0006332721,0.0001637483,0.0003927662],"domain_scores_gemma":[0.9987531,0.0004267373,0.000103291,0.000362933,0.0002852611,0.00006871164],"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":[0.00006510119,0.00005681479,0.000335703,0.00006901438,0.000001946606,2.584501e-7,0.0004499711,0.0001253598,0.9241684,0.06992902,0.0001690605,0.004629374],"study_design_scores_gemma":[0.0005529006,0.0001719104,0.0008412991,0.0001476599,0.00002068506,0.000009713735,0.003767902,0.002343563,0.8164318,0.1068969,0.06848273,0.0003329485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7736083,0.007621724,0.2114812,0.001857573,0.0002367183,0.002248107,0.00001713016,0.000095762,0.002833507],"genre_scores_gemma":[0.9907381,0.0009198604,0.005913209,0.0003254067,0.00002039598,0.0005708731,0.000001290432,0.000009068242,0.001501824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2171298,"threshold_uncertainty_score":0.5649433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004245702267194245,"score_gpt":0.3163134664817807,"score_spread":0.3120677642145865,"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."}}