{"id":"W3162658408","doi":"10.1016/j.chempr.2021.04.012","title":"In situ monitoring of mechanochemical covalent organic framework formation reveals templating effect of liquid additive","year":2021,"lang":"en","type":"article","venue":"Chem","topic":"Covalent Organic Framework Applications","field":"Materials Science","cited_by":98,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"H2020 European Research Council; European Research Council; Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; Max-Planck-Gesellschaft; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; NanoLund, Lunds Universitet; Compute Canada","keywords":"Mechanochemistry; Materials science; Covalent bond; Porosity; Raman spectroscopy; Crystallinity; Nanotechnology; Chemical engineering; Chemistry; Organic chemistry","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":[0.0004337508,0.0001209178,0.0003155137,0.00005072189,0.00003381568,0.00001129594,0.0001858638,0.000161311,0.0004916822],"category_scores_gemma":[0.001376755,0.0001239144,0.00005808065,0.0005064492,0.00004204292,0.0001574007,0.0001499613,0.0001947342,0.00004093768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001361533,"about_ca_system_score_gemma":0.0000504007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002966677,"about_ca_topic_score_gemma":0.000001108391,"domain_scores_codex":[0.9987468,0.00008110045,0.0004795646,0.000237981,0.0002624402,0.0001921022],"domain_scores_gemma":[0.9984041,0.0007915339,0.0002551823,0.0003662489,0.0001392977,0.00004362501],"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":[0.00002872554,0.0000453823,0.0004313017,0.0002365069,0.000005175947,0.000001956798,0.000666361,0.000003783434,0.9979647,0.000414906,0.00005636704,0.0001447839],"study_design_scores_gemma":[0.000213985,0.00006887851,0.00039505,0.0005999971,0.00002035346,0.000008498097,0.0002119115,0.00001390645,0.9973781,0.0009716782,0.00002069409,0.0000969895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942458,0.0001737206,0.004864717,0.0001331263,0.0001808388,0.0002199139,0.00001924277,0.00003185562,0.0001307816],"genre_scores_gemma":[0.9897238,0.00003193536,0.0100286,0.00001497958,0.0001071196,0.00004594687,0.00001290169,0.00001659024,0.0000181435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005163887,"threshold_uncertainty_score":0.5383576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370702807861534,"score_gpt":0.2812362258732557,"score_spread":0.2675291977946403,"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."}}