{"id":"W1983413180","doi":"10.1143/jjap.41.4626","title":"Size-tunable Ge Nano-particle Arrays Patterned on Si Substrates with Nanosphere Lithography and Thermal Annealing","year":2002,"lang":"en","type":"article","venue":"Japanese Journal of Applied Physics","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Advanced Foods and Materials Canada","keywords":"Materials science; Nanosphere lithography; Annealing (glass); Overlayer; Nanostructure; Faceting; Lithography; Nanotechnology; Nano-; Germanium; Nanoparticle; Nanolithography; Silicon; Optoelectronics; Composite material; Fabrication; Crystallography; Condensed matter physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009234428,0.00017627,0.0002521235,0.00001493845,0.00007443359,0.00006595361,0.000118294,0.00004488646,0.00005637007],"category_scores_gemma":[0.000003058201,0.0001257096,0.00006009725,0.0002084199,0.00006030702,0.0002040716,0.000009654417,0.0002095324,0.00001353411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001385605,"about_ca_system_score_gemma":0.000004548279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002920232,"about_ca_topic_score_gemma":0.000001359387,"domain_scores_codex":[0.9991283,0.000009520849,0.0002473718,0.0001156751,0.0002223076,0.0002768649],"domain_scores_gemma":[0.9994615,0.0001338641,0.00008586735,0.0001262099,0.00004498808,0.0001475718],"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":[0.0003242959,0.0002728005,0.003481509,0.0001402996,0.0002687106,0.00005115075,0.005301866,0.159848,0.8209524,0.002561655,0.000031106,0.00676614],"study_design_scores_gemma":[0.003354781,0.0006969263,0.01499433,0.000184302,0.0001374241,0.0000672833,0.00280296,0.1473162,0.827862,0.001633367,0.0002136962,0.0007366464],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910728,0.0001575091,0.00006399317,0.00002588376,0.00003389008,0.00008225667,0.000001530022,0.00004612827,0.008516003],"genre_scores_gemma":[0.9990909,0.00005424056,0.000582721,0.0001172622,0.0001121735,0.000005275455,3.667269e-7,0.00002797103,0.00000911012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01253178,"threshold_uncertainty_score":0.512629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008429856541275739,"score_gpt":0.1823336409548363,"score_spread":0.1739037844135605,"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."}}