{"id":"W2020481412","doi":"10.1103/physrevb.65.045315","title":"Smoluchowski ripening and random percolation in epitaxial<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant=\"normal\">Si</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn><mml:mi>−</mml:mi><mml:mi>x</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant=\"normal\">Ge</mml:mi></mml:mrow><mml:mrow><mml:mi>x</mml:mi></mml:mrow></mml:msub></mml:mrow><mml:mo>/</mml:mo><mml:mi mathvariant=\"normal\">Si</mml:mi><mml:mn/><mml:mo>(</mml:mo><mml:mn>001</mml:mn><mml:mo>)</mml:mo><mml:mn/></mml:math>islands","year":2002,"lang":"lv","type":"article","venue":"Physical review. B, Condensed matter","topic":"Semiconductor Quantum Structures and Devices","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Mitacs","keywords":"Percolation (cognitive psychology); Percolation threshold; Physics; Coalescence (physics); Smoluchowski coagulation equation; Materials science; Statistical physics; Combinatorics; Quantum mechanics; Mathematics; Electrical resistivity and conductivity","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":[0.0002852649,0.0003499383,0.0004694271,0.001171285,0.001113369,0.001677743,0.0008139093,0.0008661853,0.009318527],"category_scores_gemma":[0.001635914,0.0005886205,0.0006936901,0.0004249863,0.001176686,0.001305291,0.0008090159,0.001012342,0.001267642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001026282,"about_ca_system_score_gemma":0.000711903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003154526,"about_ca_topic_score_gemma":0.006994394,"domain_scores_codex":[0.9997328,0.00005276804,0.000009637224,0.00005586405,0.00007394618,0.00007500759],"domain_scores_gemma":[0.9995683,0.0001725128,0.00006382603,0.00005030028,0.00006331877,0.00008173594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003679713,0.0001271523,0.001276143,0.0004505955,0.00005985698,0.0007203435,0.0002386041,0.02853086,0.03960165,0.8921065,0.02330532,0.01321493],"study_design_scores_gemma":[0.000107572,0.000146724,0.006482974,0.0001101247,0.00005000751,0.0006450901,0.0002381235,0.3323899,0.01982266,0.6287969,0.01107671,0.0001331391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7195597,0.004499133,0.06432041,0.003738356,0.0005275754,0.0001828133,0.0012279,0.001610138,0.2043339],"genre_scores_gemma":[0.9573808,0.0009281132,0.01209066,0.0004277604,0.00008861943,0.0001091126,0.0005480204,0.000409592,0.0280173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009318527,"threshold_uncertainty_score":0.03117359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01618477860489691,"score_gpt":0.2453391236941958,"score_spread":0.2291543450892989,"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."}}