{"id":"W2941030833","doi":"10.3390/coatings9050282","title":"In-Vivo Corrosion Characterization and Assessment of Absorbable Metal Implants","year":2019,"lang":"en","type":"article","venue":"Coatings","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Corrosion; Materials science; Characterization (materials science); Metallurgy; Metal; In vivo; Base metal; Biomedical engineering; Nanotechnology; Medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001574162,0.00005251313,0.0001126598,0.00002590701,0.0000304216,0.0000226798,0.00007028921,0.00002482956,0.001009742],"category_scores_gemma":[0.000007799939,0.00004367761,0.000009772827,0.00006183893,0.00002102901,0.0001614556,0.00005888935,0.00003037578,0.00002642581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000100495,"about_ca_system_score_gemma":0.0000197175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009095227,"about_ca_topic_score_gemma":0.00000537678,"domain_scores_codex":[0.9994916,0.00001481864,0.0001660491,0.0001398583,0.00009280179,0.00009481335],"domain_scores_gemma":[0.9997148,0.00001834308,0.0001040856,0.0001117795,0.0000304043,0.00002062414],"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":[0.000003769104,0.00002161373,0.007218257,0.00004504331,1.758723e-7,1.763701e-7,0.00009434322,0.000002738446,0.9912787,0.001124204,0.00002938822,0.0001815847],"study_design_scores_gemma":[0.0003151722,0.00007877739,0.04393699,0.0000353622,0.00000609957,0.000005877778,0.00008751856,0.001672957,0.9497111,0.00008997897,0.003955661,0.0001044578],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971921,0.000009961476,0.0002993546,0.0001102522,0.0001000283,0.0001922272,0.00001872388,0.00001148503,0.002065815],"genre_scores_gemma":[0.997403,0.00001280413,0.000793419,0.00008196878,0.00001284169,0.00001995887,0.000007561441,0.000005324147,0.001663082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04156756,"threshold_uncertainty_score":0.9999034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300430849712795,"score_gpt":0.2567263904704827,"score_spread":0.2437220819733548,"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."}}