{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008630354,0.0001243045,0.0003650405,0.000004413037,0.000018533,0.00001091405,0.0004354116,0.00005049633,0.00002373874],"category_scores_gemma":[0.00005528437,0.00009071826,0.0006085304,0.0004085193,0.000181311,0.00004314484,0.00006525469,0.0003933256,9.56491e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005902636,"about_ca_system_score_gemma":0.00001740017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002798725,"about_ca_topic_score_gemma":1.763121e-8,"domain_scores_codex":[0.999127,0.00001559526,0.0003555423,0.00008661591,0.0002508072,0.0001644264],"domain_scores_gemma":[0.9992925,0.00005250679,0.0003054668,0.0001507133,0.00007783047,0.0001210126],"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":[0.00002681486,0.00001840282,0.0007309362,0.00003077572,0.0002550865,0.000003888828,0.0002344611,0.00714195,0.9866884,0.000001428795,0.004326954,0.0005408706],"study_design_scores_gemma":[0.0002342989,0.00002752713,0.0002752405,0.00001659534,0.00008678445,0.00001779397,0.0003154163,0.00292169,0.995791,0.00003088636,0.0001666764,0.0001161497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960476,0.0003878705,0.002587214,0.0007122115,0.00007537883,0.00002607164,0.000005025739,0.00002125085,0.0001374366],"genre_scores_gemma":[0.9981655,0.000118529,0.001116869,0.0003398546,0.0002345116,5.437623e-7,0.00000109538,0.00001993438,0.000003120091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009102509,"threshold_uncertainty_score":0.3699383,"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."}}