{"id":"W4377861943","doi":"10.1002/exp.20220144","title":"Composite materials based on covalent organic frameworks for multiple advanced applications","year":2023,"lang":"en","type":"review","venue":"Exploration","topic":"Covalent Organic Framework Applications","field":"Materials Science","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Youth Innovation Promotion Association; Youth Innovation Promotion Association of the Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Composite number; Covalent bond; Materials science; Nanotechnology; Composite material; Chemistry; Organic chemistry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006237261,0.0005811002,0.001223492,0.0003042106,0.0004385129,0.000283263,0.000729528,0.0008466315,0.000492547],"category_scores_gemma":[0.0003882826,0.0005571171,0.0002824712,0.0009356173,0.00007094686,0.0002573615,0.0001184087,0.0004620909,0.005690078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004112466,"about_ca_system_score_gemma":0.000301044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002731416,"about_ca_topic_score_gemma":0.00000958381,"domain_scores_codex":[0.9966787,0.0002116355,0.001142072,0.00106027,0.0004485223,0.0004588095],"domain_scores_gemma":[0.9956959,0.001685076,0.0008480776,0.001428619,0.0002150067,0.0001272921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001706619,0.0011727,7.581589e-7,0.03561571,0.0001578029,0.000003846408,0.0002996588,0.002095972,0.0622304,0.01140955,0.008568738,0.8782742],"study_design_scores_gemma":[0.0004121881,0.0001039123,7.48708e-7,0.005214044,0.0003990083,0.000001680456,0.00002523597,0.0004802707,0.007215913,0.001980345,0.9834726,0.0006939947],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.00001896376,0.3241789,0.6583713,0.0005379462,0.00141855,0.01219616,0.001965341,0.001280887,0.00003195388],"genre_scores_gemma":[0.0001907006,0.9328042,0.02250516,0.0002528378,0.000968416,0.03594673,0.00660393,0.0003932394,0.0003348288],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9749039,"threshold_uncertainty_score":0.999688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07998923250504841,"score_gpt":0.3582168261283817,"score_spread":0.2782275936233333,"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."}}