{"id":"W2094708516","doi":"10.1088/0022-3727/44/49/495305","title":"Laser-assisted surface patterning of magnesium with silver nanoparticles: synthesis, characterization and modelling","year":2011,"lang":"en","type":"article","venue":"Journal of Physics D Applied Physics","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Scanning electron microscope; Magnesium; Selective laser sintering; Nanoparticle; Microstructure; Composite material; Transmission electron microscopy; Silver nanoparticle; Sintering; Nanotechnology; Chemical engineering; Metallurgy","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":[0.0001907627,0.0001735835,0.0003354312,0.0000172072,0.0001033525,0.00004640395,0.0001978919,0.00003922813,0.0000422527],"category_scores_gemma":[0.000002211086,0.0001329099,0.00005192943,0.0001651287,0.0001200576,0.0003149244,0.00005035289,0.0001119197,0.000008017344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001727127,"about_ca_system_score_gemma":0.00005229609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002049093,"about_ca_topic_score_gemma":6.291698e-7,"domain_scores_codex":[0.998877,0.00003362096,0.0004238784,0.0001811558,0.0002897383,0.000194562],"domain_scores_gemma":[0.9987204,0.00004928973,0.0007322291,0.0001974745,0.0002173361,0.00008328579],"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":[0.0001099848,0.0002631982,0.0003326245,0.0001039018,0.00001554669,0.000001326345,0.0008858165,0.004655978,0.985784,0.002118626,0.000003349975,0.005725641],"study_design_scores_gemma":[0.0003226375,0.000103974,0.0008435047,0.00005304178,0.0001238999,0.000006012331,0.0002024099,0.004831764,0.9926127,0.0007037965,0.00002064577,0.0001756404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9206547,0.00001274611,0.07889411,0.00001990238,0.00003766831,0.000130631,0.00001660326,0.00001506973,0.000218611],"genre_scores_gemma":[0.9910049,0.0000139587,0.008742063,0.00003038381,0.0001459753,0.00001008361,0.00000304769,0.00002990234,0.00001963169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07035029,"threshold_uncertainty_score":0.5419908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03255191002840474,"score_gpt":0.2005294736758943,"score_spread":0.1679775636474896,"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."}}