{"id":"W2990968328","doi":"10.1002/anie.201912247","title":"Snapshots of Dynamic Adaptation: Two‐Dimensional Molecular Architectonics with Linear Bis‐Hydroxamic Acid Modules","year":2019,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Surface Chemistry and Catalysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"H2020 European Research Council; Postdoctoral Research Foundation of China; Munich-Centre for Advanced Photonics; China Scholarship Council; Horizon 2020 Framework Programme; Deutsche Forschungsgemeinschaft; International Max Planck Research School for Environmental, Cellular and Molecular Microbiology; Compute Canada","keywords":"Scanning tunneling microscope; Supramolecular chemistry; Hydroxamic acid; Chemical physics; X-ray photoelectron spectroscopy; Crystallography; Density functional theory; Chemistry; Block (permutation group theory); Materials science; Phase transition; Nanotechnology; Stereochemistry; Crystal structure; Computational chemistry; Chemical engineering; Physics; Condensed matter physics; Mathematics","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":[0.00005803451,0.0001996412,0.0001656381,0.0002719928,0.0002374752,0.0004538978,0.0003546983,0.0003661308,0.002320035],"category_scores_gemma":[0.0001717041,0.0002449889,0.0001738986,0.0002498111,0.0003590512,0.0003099331,0.0002717662,0.0006602376,0.0001525295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004216187,"about_ca_system_score_gemma":0.0002268698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001148452,"about_ca_topic_score_gemma":0.001466047,"domain_scores_codex":[0.9999394,0.000006189264,0.000002675205,0.000008698686,0.00001819113,0.00002481007],"domain_scores_gemma":[0.9998652,0.00003677642,0.00002347546,0.000018843,0.000009939974,0.0000457823],"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":[0.0005495794,0.0002025019,0.002920156,0.0001443596,0.00008604895,0.001362759,0.0005362613,0.05115914,0.9260435,0.005692041,0.001173945,0.01012989],"study_design_scores_gemma":[0.0001938845,0.0009517233,0.05850368,0.00005159029,0.0001152175,0.001272588,0.0007412134,0.5283036,0.3969522,0.004581668,0.008133681,0.0001990225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932204,0.0001539545,0.003273604,0.0000807259,0.00002220371,0.00001223062,0.0001938132,0.0002265848,0.00281635],"genre_scores_gemma":[0.9955675,0.0001055279,0.003317491,0.00001872607,0.000005769531,0.00001444981,0.000163422,0.0000249744,0.0007821015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002320035,"threshold_uncertainty_score":0.00776124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005079084997696696,"score_gpt":0.2090942843677939,"score_spread":0.2040151993700972,"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."}}