{"id":"W7015296155","doi":"","title":"Strain-compensated nano-clusters in Al-Si-Ge alloys","year":2006,"lang":"en","type":"article","venue":"NPARC","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Process (computing); Deformation (meteorology); Welding","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000122292,0.0001082717,0.0002889038,0.0003215497,0.0007516766,0.0005468172,0.0004344608,0.0005260136,0.01089018],"category_scores_gemma":[0.0005269698,0.0001452063,0.000080674,0.0001715416,0.0002183782,0.0003612008,0.0002527782,0.0001725749,0.002331738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000272802,"about_ca_system_score_gemma":0.0003031711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001032983,"about_ca_topic_score_gemma":0.002126708,"domain_scores_codex":[0.9999058,0.000009078593,0.000003977374,0.00001601064,0.00005008655,0.00001512717],"domain_scores_gemma":[0.9997665,0.00002516474,0.00001573714,0.00002025392,0.0001386675,0.0000337712],"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":[0.002417068,0.0002118692,0.0084742,0.0007679959,0.0000781576,0.002165078,0.0008140947,0.01111918,0.8464355,0.03692937,0.04033582,0.05025161],"study_design_scores_gemma":[0.0002852901,0.0007190342,0.05309074,0.00005567285,0.00009068313,0.001417857,0.001455896,0.0556345,0.7877119,0.0128545,0.08658275,0.0001012737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970204,0.0008663065,0.001279576,0.0009788849,0.0007585835,0.00002684287,0.0001846719,0.0001862494,0.02551495],"genre_scores_gemma":[0.9588588,0.0002847965,0.0007291368,0.00008084492,0.00008631822,0.00001345638,0.0002142027,0.00007524718,0.03965715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01089018,"threshold_uncertainty_score":0.03643131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215255552161141,"score_gpt":0.221411118105744,"score_spread":0.2092585625841326,"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."}}