{"id":"W3207914120","doi":"10.1016/j.bioactmat.2021.10.020","title":"Effect of silver in thermal treatments of Fe-Mn-C degradable metals: Implications for stent processing","year":2021,"lang":"en","type":"article","venue":"Bioactive Materials","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Politecnico di Milano; Canada Foundation for Innovation; Ministère de l'Économie, de la Science et de l'Innovation - Québec; Ministère de l'Économie, de l’Innovation et des Exportations du Québec","keywords":"Twip; Recrystallization (geology); Materials science; Crystal twinning; Microstructure; Metallurgy; Annealing (glass); Dynamic recrystallization; Hot working","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":[0.0001211489,0.0001064151,0.0003187563,0.00003162471,0.00001628535,0.00001152448,0.00006038975,0.00005567876,0.0000372593],"category_scores_gemma":[0.00002880385,0.00007722788,0.00005364235,0.00006702566,0.00001874564,0.00007421834,0.00002033706,0.00001861104,0.000001033586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000380459,"about_ca_system_score_gemma":0.00001731968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001917343,"about_ca_topic_score_gemma":0.000002615922,"domain_scores_codex":[0.9994354,0.00004223964,0.0002378842,0.0001146014,0.00004131575,0.0001286195],"domain_scores_gemma":[0.9996968,0.00005277054,0.00005862738,0.0001191165,0.00005254832,0.00002016332],"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":[0.00009104713,0.00002497836,0.00003377823,0.000426373,0.00007937806,3.330834e-7,0.00006939151,0.00004970974,0.9918898,0.0000363453,0.00001384833,0.007285027],"study_design_scores_gemma":[0.000550713,0.0001287972,0.001410436,0.00006615134,0.0000690117,0.000001305511,0.00002273604,0.00001846559,0.9975161,0.00006127825,0.00008461798,0.00007041033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980523,0.0007759666,0.0002258667,0.00001221183,0.0001098934,0.0003859291,0.0002584535,0.00001782532,0.0001615817],"genre_scores_gemma":[0.9991775,0.00001829762,0.000581097,0.000004435022,0.00001868694,0.00008917695,0.00002998396,0.00001779664,0.00006299189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007214617,"threshold_uncertainty_score":0.3149261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01846349769967745,"score_gpt":0.2600515833911617,"score_spread":0.2415880856914842,"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."}}