{"id":"W2922625679","doi":"10.1002/chem.201900802","title":"Self‐Assembly of <i>C</i><sub>3</sub> Symmetric Rigid Macrolactams into Very Polar and Porous Trigonal Crystals","year":2019,"lang":"en","type":"article","venue":"Chemistry - A European Journal","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Compute Canada; Université de Sherbrooke","keywords":"Supramolecular chemistry; Crystallography; van der Waals force; Polar; Dipole; Group (periodic table); Trigonal crystal system; Anisotropy; Crystal (programming language); Materials science; Non-covalent interactions; Hydrogen bond; Symmetry (geometry); Chemistry; Chemical physics; Crystal structure; Physics; Geometry; Molecule; Optics","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":[0.00009286452,0.0001779807,0.0001319929,0.0001247635,0.00007700506,0.0003646678,0.000154527,0.0001207798,0.0005636277],"category_scores_gemma":[0.0001455371,0.0001292587,0.0001948117,0.0001041239,0.0001640198,0.0001640321,0.0002057673,0.0001902226,0.000255924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002059774,"about_ca_system_score_gemma":0.0001950784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004519919,"about_ca_topic_score_gemma":0.0008238307,"domain_scores_codex":[0.9999301,0.000009055932,0.000006082133,0.000011371,0.00001711568,0.00002618473],"domain_scores_gemma":[0.999894,0.00001265392,0.00003482344,0.00001086185,0.00001161876,0.00003604791],"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":[0.00006179215,0.00002886844,0.0002675973,0.0000430806,0.00001108735,0.00009323336,0.00003956527,0.0006704546,0.9950192,0.0005576531,0.0002079059,0.002999617],"study_design_scores_gemma":[0.00003883038,0.0003901107,0.002807406,0.000009554768,0.00001717392,0.0001459723,0.00004325769,0.005610013,0.9862684,0.0001288131,0.004523081,0.00001742064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949109,0.000289014,0.001907866,0.0000380363,0.00002762106,0.00001860152,0.00008438498,0.0001218063,0.002601808],"genre_scores_gemma":[0.9968201,0.0001767361,0.001919088,0.00002371591,0.000005032631,0.00001316901,0.00007026525,0.00002512632,0.0009468502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005636277,"threshold_uncertainty_score":0.001885474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005264853878028765,"score_gpt":0.2021970794397554,"score_spread":0.1969322255617267,"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."}}