{"id":"W2982312446","doi":"10.1002/ange.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","topic":"Surface Chemistry and Catalysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Postdoctoral Research Foundation of China; Horizon 2020 Framework Programme; H2020 European Research Council; China Scholarship Council; Deutsche Forschungsgemeinschaft","keywords":"Scanning tunneling microscope; Supramolecular chemistry; X-ray photoelectron spectroscopy; Hydroxamic acid; Chemical physics; Crystallography; Density functional theory; Chemistry; Materials science; Block (permutation group theory); Nanotechnology; Crystal structure; Stereochemistry; Computational chemistry; Chemical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00006664353,0.0001789821,0.0001694423,0.0003120179,0.0002528293,0.0004662559,0.000336424,0.0003561268,0.002304724],"category_scores_gemma":[0.0001805415,0.0002424292,0.0001710386,0.0002342716,0.000340388,0.0003045204,0.0002650731,0.000624692,0.0001494047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000419782,"about_ca_system_score_gemma":0.0002115025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009912348,"about_ca_topic_score_gemma":0.001164731,"domain_scores_codex":[0.9999464,0.000005415182,0.000002142599,0.000007308855,0.00001724125,0.00002143853],"domain_scores_gemma":[0.9998589,0.00003977618,0.00002242766,0.00001966977,0.00001122026,0.00004802858],"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":[0.0004823416,0.0002145063,0.002834208,0.0001241565,0.0000854763,0.001360439,0.000528009,0.05479582,0.9255609,0.004302314,0.001049725,0.00866201],"study_design_scores_gemma":[0.0001896327,0.0008881796,0.0528055,0.00004558466,0.0001043008,0.001065017,0.0006412496,0.5773962,0.356714,0.003529346,0.006432982,0.0001881567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946014,0.0001057951,0.002756839,0.00006907769,0.00001855166,0.00001123698,0.0001440041,0.0002057572,0.002087458],"genre_scores_gemma":[0.996639,0.00007048636,0.002502528,0.00001545568,0.000005041737,0.00001278618,0.0001211858,0.00002195392,0.0006115307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002304724,"threshold_uncertainty_score":0.007710099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005552150675975216,"score_gpt":0.1982437901813877,"score_spread":0.1926916395054125,"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."}}