{"id":"W2522374448","doi":"10.1016/j.optlastec.2016.09.003","title":"Effect of high repetition laser shock peening on biocompatibility and corrosion resistance of magnesium","year":2016,"lang":"en","type":"article","venue":"Optics & Laser Technology","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Peening; Corrosion; Materials science; Biocompatibility; Metallurgy; Magnesium; Shock (circulatory); Laser peening; Residual stress","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":[0.00036639,0.0001264774,0.0002688604,0.000102621,0.00007011525,0.000007831562,0.0002011347,0.0001459033,0.0001225607],"category_scores_gemma":[0.0001752539,0.0000815509,0.00002854136,0.0001783066,0.0004134684,0.00005867833,0.0001237316,0.00006150892,0.00002024154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002292257,"about_ca_system_score_gemma":0.00001401735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002716612,"about_ca_topic_score_gemma":0.00003462944,"domain_scores_codex":[0.9989663,0.0000628538,0.0003106752,0.0003438251,0.0001404962,0.0001758192],"domain_scores_gemma":[0.998902,0.0001700584,0.0001980816,0.0005849755,0.0001136164,0.00003130086],"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":[0.000222086,0.00005851171,0.001364982,0.000181525,9.936607e-7,9.724682e-7,0.000009712171,0.000006574922,0.9870383,0.009570092,0.00005286123,0.001493429],"study_design_scores_gemma":[0.00048523,0.0007729948,0.001038967,0.00008632064,0.00002257256,0.000002043023,0.0000146069,0.00003069942,0.9959114,0.001312239,0.0002278904,0.00009508202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972693,0.00003707633,0.0004765346,0.001318635,0.00007284341,0.0002887424,0.00005238025,0.00008585471,0.0003986647],"genre_scores_gemma":[0.9963793,0.00002207015,0.003000833,0.00001379969,0.00001374326,0.00005215105,0.000003168114,0.00001179837,0.0005031906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008873095,"threshold_uncertainty_score":0.3325549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005518482357357318,"score_gpt":0.223617057010869,"score_spread":0.2180985746535117,"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."}}