{"id":"W2767826347","doi":"10.1039/c7cc06022j","title":"Siloxane-based linkers in the construction of hydrogen bonded assemblies and porous 3D MOFs","year":2017,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kensington Health","funders":"Engineering and Physical Sciences Research Council; Imperial College London; Royal Society of Chemistry; Royal Society","keywords":"Silanol; Siloxane; Porosity; Cleavage (geology); Polymer; Hydrogen; Polymer chemistry; Coordination polymer; Materials science; Chemistry; Crystallography; Combinatorial chemistry; Chemical engineering; Catalysis; Organic chemistry; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002247882,0.0001137867,0.000192577,0.00002884221,0.0003450571,0.00007052076,0.0014231,0.0001656894,0.00007182485],"category_scores_gemma":[0.000522767,0.00009487973,0.0000560238,0.00008528051,0.0007813887,0.00007110214,0.0002330966,0.0003753384,0.000005176622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002502203,"about_ca_system_score_gemma":0.00004483408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008611533,"about_ca_topic_score_gemma":0.00002386891,"domain_scores_codex":[0.9992049,0.00003900693,0.000318687,0.0001703262,0.0001351938,0.0001318734],"domain_scores_gemma":[0.9961036,0.0006235515,0.0002728847,0.002900851,0.00005442037,0.00004466516],"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":[0.00001110085,0.0003018612,0.005156061,0.00006441751,0.00003734793,4.278902e-7,0.0003121534,0.000002888388,0.9677002,0.01674287,0.0001714018,0.00949921],"study_design_scores_gemma":[0.0005226557,0.000006474839,0.001384653,0.0001359043,0.00009514396,0.00001456737,0.0008246247,0.002164626,0.9800506,0.00740591,0.007156467,0.000238388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701306,0.0006757996,0.00009535932,0.007973649,0.000009231866,0.0001218584,0.00003150291,0.00003367284,0.02092828],"genre_scores_gemma":[0.9896799,0.0002179637,0.009804612,0.00008483127,0.00002235209,0.00009076802,0.00005351339,0.00001247695,0.00003353264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02089475,"threshold_uncertainty_score":0.3869083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0360700192208688,"score_gpt":0.2858100205728326,"score_spread":0.2497400013519638,"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."}}