{"id":"W4409229389","doi":"10.1002/chem.202500756","title":"Supramolecular Matter Through Crystal Engineering: Covalent Bond Formation to Postsynthetic Modification","year":2025,"lang":"en","type":"review","venue":"Chemistry - A European Journal","topic":"Supramolecular Chemistry and Complexes","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Division of Materials Research; Canada Excellence Research Chairs, Government of Canada; National Science Foundation","keywords":"Supramolecular chemistry; Crystal engineering; Covalent bond; Dynamic covalent chemistry; Supramolecular polymers; Reactivity (psychology); Nanotechnology; Chemistry; Scope (computer science); Solid-state; Hydrogen bond; Combinatorial chemistry; Materials science; Polymer science; Organic chemistry; Molecule; Computer science; Physical 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003922991,0.0009439047,0.001149249,0.00008938511,0.0002542317,0.0005042881,0.001349263,0.0002806752,0.002132618],"category_scores_gemma":[0.0002779323,0.0009401611,0.0009956142,0.0003518892,0.00005773677,0.0001908796,0.0003591032,0.001468747,0.0004451932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004385897,"about_ca_system_score_gemma":0.0002753532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.312883e-7,"about_ca_topic_score_gemma":1.860133e-8,"domain_scores_codex":[0.9964855,0.0001190979,0.001410395,0.000751885,0.0005464681,0.0006866532],"domain_scores_gemma":[0.9975142,0.0001075899,0.0006754987,0.001136332,0.0001691234,0.0003972841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001161437,0.0007255995,0.000002632947,0.2505428,0.001629588,0.003128774,0.0007542856,0.0003906839,0.4045126,0.00004849831,0.05481134,0.2833371],"study_design_scores_gemma":[0.0003138844,0.00001133067,2.295863e-7,0.01759017,0.0006753574,0.004049639,0.00006148214,0.00007090432,0.02096717,0.00001234002,0.9553574,0.0008900363],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006275162,0.9410005,0.01024756,0.0001201881,0.0002115716,0.0002790585,0.0002055356,0.0002045549,0.04710357],"genre_scores_gemma":[0.001467877,0.984925,0.002669741,0.000225962,0.001382033,0.0001098489,0.001385479,0.0003861403,0.007447869],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9005461,"threshold_uncertainty_score":0.9993049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02927074824558363,"score_gpt":0.2730934266103655,"score_spread":0.2438226783647819,"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."}}