{"id":"W2037445887","doi":"10.1002/jbm.b.32722","title":"Load‐bearing capacity and biological allowable limit of biodegradable metal based on degradation rate <i>in vivo</i>","year":2012,"lang":"en","type":"article","venue":"Journal of Biomedical Materials Research Part B Applied Biomaterials","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"AccelLab (Canada)","funders":"Korea Institute of Science and Technology","keywords":"Degradation (telecommunications); Ultimate tensile strength; Materials science; Alloy; Microstructure; Compression (physics); Compressive strength; Bearing capacity; Composite material; Erosion; Bending; Tension (geology); Metallurgy; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0160894,0.0002981055,0.0009518345,0.0004588453,0.0002034985,0.0002121246,0.0005472383,0.0003053698,0.002905866],"category_scores_gemma":[0.0006536336,0.0001968085,0.00008327698,0.0005240836,0.0009148258,0.0002990494,0.0002479318,0.0001404414,0.00008452748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001515014,"about_ca_system_score_gemma":0.0002247397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002369149,"about_ca_topic_score_gemma":0.000005084943,"domain_scores_codex":[0.9947232,0.001008169,0.001640779,0.0003959212,0.001267608,0.0009643336],"domain_scores_gemma":[0.9976329,0.0005458837,0.0006600271,0.0003796758,0.000314974,0.0004665863],"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":[0.0008631485,0.0006825895,0.0001058316,0.0002129198,0.00001594913,0.000005682728,0.00007497163,0.000003821359,0.995609,0.001301237,0.0009521456,0.0001726424],"study_design_scores_gemma":[0.001089478,0.0005094439,0.0007411433,0.0001499305,0.00002022378,0.00001722857,0.0001092581,0.00001851483,0.9889325,0.0003776679,0.007824388,0.0002102463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972976,0.0001184394,0.00007990473,0.0005903773,0.0006935708,0.0005848091,0.0001925333,0.0000260589,0.000416689],"genre_scores_gemma":[0.996694,0.0001427323,0.002337075,0.00009975877,0.0005381283,0.0001050362,0.0000139585,0.00002708922,0.00004216885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01543576,"threshold_uncertainty_score":0.9980056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1066332453030456,"score_gpt":0.3152253324494764,"score_spread":0.2085920871464307,"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."}}