{"id":"W4240233347","doi":"10.26434/chemrxiv.12887297.v2","title":"Enhanced Reactivity in Surface-Confined Water of Hierarchically Structured Polymers","year":2020,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Horizon 2020 Framework Programme; China Scholarship Council; Academy of Finland","keywords":"Nanoporous; Polymer; Chemical reaction; Cellulose; Molecule; Regioselectivity; Reactivity (psychology); Reaction rate; Chemistry; Surface (topology); Chemical engineering; Nanotechnology; Materials science; Polymer science; Organic chemistry; Catalysis","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":[0.00007885924,0.0001928843,0.00009007865,0.00008142812,0.0000837105,0.0001726,0.0001366071,0.0001557636,0.000730737],"category_scores_gemma":[0.000138528,0.00009577782,0.000114038,0.00006051004,0.0001986803,0.0003054805,0.0002128048,0.0003013555,0.000166591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001615629,"about_ca_system_score_gemma":0.00007899908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003832006,"about_ca_topic_score_gemma":0.0005802346,"domain_scores_codex":[0.9999335,0.000008127179,0.000002507958,0.0000197012,0.00001577532,0.00002048655],"domain_scores_gemma":[0.9999431,0.00001954442,0.00001783139,0.000004534886,0.000005476406,0.000009412609],"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":[0.00001682307,0.000006370975,0.00007208642,0.00002439975,0.000002501457,0.00002710572,0.00002138705,0.0002957768,0.9986187,0.0002095586,0.00002106889,0.000684207],"study_design_scores_gemma":[0.000004023606,0.00004499031,0.0003887986,0.000001389865,0.000002093875,0.00001707288,0.000007400248,0.002025394,0.9969571,0.00005190595,0.0004970133,0.000002814051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961331,0.0003216194,0.002312598,0.0000298178,0.000007724761,0.000005050546,0.00004365191,0.00005068493,0.001095786],"genre_scores_gemma":[0.9982539,0.0001054338,0.0008965351,0.0000135072,0.000003510748,0.000004114403,0.00003169932,0.00001277293,0.0006785862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000730737,"threshold_uncertainty_score":0.002444506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554516786860369,"score_gpt":0.2442601603949154,"score_spread":0.2287149925263117,"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."}}