{"id":"W1982500074","doi":"10.1016/j.susc.2007.10.025","title":"A numerical approach to quantify self-ordering among self-organized nanostructures","year":2007,"lang":"en","type":"article","venue":"Surface Science","topic":"Semiconductor Quantum Structures and Devices","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Nucleation; Statistical physics; Nanostructure; Order (exchange); Self-organization; Brownian motion; Computer science; Nanotechnology; Materials science; Physics; Artificial intelligence; Quantum mechanics; Thermodynamics","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":[0.0006290552,0.0003169934,0.0003419357,0.0006985525,0.0005957022,0.0006552032,0.0008123519,0.001117391,0.001296769],"category_scores_gemma":[0.00259361,0.0002268802,0.000367927,0.0005019629,0.0008074078,0.0008912562,0.0005442405,0.0006809135,0.0001549612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007372687,"about_ca_system_score_gemma":0.0007181462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001459522,"about_ca_topic_score_gemma":0.001863175,"domain_scores_codex":[0.9998536,0.00003434955,0.000008357064,0.00001735885,0.00007239637,0.00001398325],"domain_scores_gemma":[0.9991342,0.0004368102,0.0001037169,0.0001323615,0.0001303706,0.00006250198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002078796,0.0001469776,0.00100642,0.00006745295,0.00003345879,0.00007478954,0.00007084598,0.7817498,0.02214431,0.1838195,0.000455736,0.01041],"study_design_scores_gemma":[0.000002067545,0.000005126534,0.00005562272,0.000001570391,0.000001440467,0.000005923129,0.000002870407,0.9927359,0.000607057,0.006412102,0.0001682991,0.000002026848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09669817,0.0001846152,0.8930337,0.0002696391,0.0001078942,0.0001109798,0.0001011492,0.0002410069,0.009252885],"genre_scores_gemma":[0.6932914,0.0002147258,0.3010082,0.0001646973,0.00007257154,0.0002985435,0.0001311127,0.00008235723,0.004736343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001459522,"threshold_uncertainty_score":0.005349278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009178691268249377,"score_gpt":0.2603825703184519,"score_spread":0.2512038790502025,"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."}}