{"id":"W3091737399","doi":"10.1021/bk-2020-1358.ch010","title":"Nucleation and Growth of Crystal on a Substrate Surface: Structure Matching at the Atomistic Level","year":2020,"lang":"en","type":"book-chapter","venue":"ACS symposium series","topic":"nanoparticles nucleation surface interactions","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Nucleation; Materials science; Matching (statistics); Crystallography; Substrate (aquarium); Chemical physics; Surface (topology); Crystal growth; Crystal (programming language); Nanotechnology; Geometry; Chemistry; Computer science; Thermodynamics; Physics; Mathematics; Geology","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":[0.0001155409,0.0002595301,0.0004655556,0.0001447078,0.0003823457,0.0009009024,0.0008088705,0.0006119387,0.003993812],"category_scores_gemma":[0.0001547126,0.0003157501,0.0003254104,0.0002835596,0.000459171,0.0008516682,0.0006013981,0.0007836937,0.001284022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007692754,"about_ca_system_score_gemma":0.0003935131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008536893,"about_ca_topic_score_gemma":0.0008880016,"domain_scores_codex":[0.9998968,0.000008242037,0.000003120057,0.00002584888,0.00005427475,0.00001178575],"domain_scores_gemma":[0.9999722,0.00001146965,0.000002365876,0.000006523566,0.000004889029,0.000002514524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007639872,0.00008729177,0.0008077944,0.001587311,0.00004507357,0.0004318984,0.0005613336,0.04570664,0.3022563,0.4976341,0.009638969,0.141167],"study_design_scores_gemma":[0.00002822765,0.0001079664,0.001117739,0.0001944616,0.00003821598,0.001047781,0.0001988883,0.2532728,0.2781102,0.1441784,0.3216388,0.00006645836],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2163956,0.05510185,0.3552692,0.001826134,0.0008231947,0.000211669,0.000843573,0.001267602,0.3682612],"genre_scores_gemma":[0.6825351,0.03784959,0.1894141,0.0003917572,0.0001351245,0.0003462908,0.001345124,0.0007371226,0.08724581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003993812,"threshold_uncertainty_score":0.01336062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852154709178973,"score_gpt":0.2033563078280879,"score_spread":0.1848347607362982,"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."}}