{"id":"W3017371826","doi":"10.1021/jacs.0c00108","title":"Stereospecific Epitaxial Growth of Bilayered Porous Molecular Networks","year":2020,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Surface Chemistry and Catalysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"FP7 Ideas: European Research Council; KU Leuven; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; Natural Sciences and Engineering Research Council of Canada; European Commission; Fonds Wetenschappelijk Onderzoek; Government of Canada","keywords":"Chemistry; Supramolecular chemistry; Bilayer; Scanning tunneling microscope; van der Waals force; Chirality (physics); Crystallography; Epitaxy; Enantiomer; Chemical physics; Layer (electronics); Nanotechnology; Stereochemistry; Membrane; Molecule; Organic chemistry; Symmetry breaking; Crystal structure; 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":[0.00007172061,0.0002616574,0.0001409962,0.0001618569,0.0001059531,0.0002032794,0.0002182013,0.000153081,0.0004317467],"category_scores_gemma":[0.0001776572,0.0001751636,0.0001302155,0.000118257,0.0001158843,0.0002527862,0.0002911371,0.0003265042,0.0001599398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002222567,"about_ca_system_score_gemma":0.0001460577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006414555,"about_ca_topic_score_gemma":0.002041366,"domain_scores_codex":[0.9999322,0.000005121705,0.000005719726,0.00001374954,0.00002180567,0.00002143197],"domain_scores_gemma":[0.9999018,0.00001796535,0.00003387373,0.00001264133,0.00001398577,0.00001986153],"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":[0.00001318877,0.000005833684,0.00006927925,0.00001463591,0.000001985773,0.00002229895,0.000008144704,0.0002022687,0.9987372,0.0001147158,0.00001647568,0.0007938847],"study_design_scores_gemma":[0.000006629892,0.00004375499,0.0006227967,0.000002188734,0.000003868543,0.0000441123,0.000008424554,0.003949467,0.994751,0.00003362907,0.0005307709,0.000003323532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938273,0.0002748665,0.003851813,0.00003326467,0.00001345167,0.0000180821,0.0001769721,0.00007711582,0.001727138],"genre_scores_gemma":[0.9918438,0.0003282313,0.006715798,0.000008574368,0.000004107252,0.00001447423,0.0001655146,0.00001510673,0.0009044069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006414555,"threshold_uncertainty_score":0.001612544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006967310405073308,"score_gpt":0.1899934231783964,"score_spread":0.1830261127733231,"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."}}