{"id":"W2119153662","doi":"10.1038/nchem.1730","title":"Constructing monocrystalline covalent organic networks by polymerization","year":2013,"lang":"en","type":"article","venue":"Nature Chemistry","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":440,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Université de Montréal; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Covalent bond; Supramolecular chemistry; Chemistry; Diamondoid; Polymerization; Monomer; Dynamic covalent chemistry; Network covalent bonding; Non-covalent interactions; Polymer; Crystal engineering; Self-assembly; Nanotechnology; Crystallography; Molecule; Crystal structure; Organic chemistry; Hydrogen bond; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007180231,0.000246108,0.0001697812,0.0001784369,0.0001949625,0.000322132,0.0004666703,0.0002229453,0.00177748],"category_scores_gemma":[0.0001531822,0.0001972747,0.0001173498,0.0002124654,0.0001718638,0.0005654918,0.0004321861,0.0003677843,0.0004194287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003337993,"about_ca_system_score_gemma":0.0001491691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006985958,"about_ca_topic_score_gemma":0.002600616,"domain_scores_codex":[0.9999352,0.000004478914,0.000003001787,0.00002041871,0.00001736078,0.00001957582],"domain_scores_gemma":[0.9999541,0.00001219517,0.00001247859,0.000008256688,0.000004579758,0.000008393673],"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":[0.0001072971,0.0001089567,0.0003386711,0.0004164553,0.0000340084,0.0001919593,0.0001017905,0.005380361,0.9111994,0.02558181,0.002626005,0.0539133],"study_design_scores_gemma":[0.00005131215,0.0003031287,0.0008623392,0.00001887049,0.0000204143,0.0001696002,0.0000320837,0.01848391,0.9501237,0.003331269,0.02657427,0.00002908544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9185299,0.004175129,0.04071749,0.0003307929,0.0002618135,0.0001012686,0.0005108981,0.0009519248,0.03442077],"genre_scores_gemma":[0.9795935,0.001366809,0.01455806,0.00006139962,0.00002798958,0.00005124336,0.0001453162,0.00005319175,0.004142441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00177748,"threshold_uncertainty_score":0.005946219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00422020759709035,"score_gpt":0.2073015769327263,"score_spread":0.2030813693356359,"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."}}