{"id":"W4409163377","doi":"10.1016/j.jmst.2025.03.016","title":"Effect of powder preparation on degradation behavior and cytotoxicity of sintered porous biodegradable FeMnC alloys for biomedical applications","year":2025,"lang":"en","type":"article","venue":"Journal of Material Science and Technology","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ministère de l'Économie, de l’Innovation et des Exportations du Québec","keywords":"Degradation (telecommunications); Materials science; Porosity; Cytotoxicity; Chemical engineering; Metallurgy; Composite material; Chemistry; Computer science; Engineering","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":[0.0009543606,0.00007858687,0.0002335885,0.000323102,0.0001405454,0.0000379407,0.0002346458,0.00009233502,0.00001717455],"category_scores_gemma":[0.0001538747,0.00005392968,0.00002044743,0.0003961973,0.0008012584,0.0001398577,0.00007529582,0.00004304979,4.595666e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002948995,"about_ca_system_score_gemma":0.000120475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002723428,"about_ca_topic_score_gemma":0.000004171372,"domain_scores_codex":[0.9990856,0.00002516503,0.0003981655,0.0001713293,0.0001887919,0.0001309294],"domain_scores_gemma":[0.9991313,0.00005689324,0.0003311578,0.0001468601,0.0002965858,0.0000371842],"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":[0.0001833867,0.00009270531,0.0001891942,0.00007561782,0.00000277511,2.026e-7,0.00001469759,5.071374e-7,0.9866927,0.004856769,0.00005775563,0.007833715],"study_design_scores_gemma":[0.0004073814,0.001651256,0.0004005312,0.00003544402,0.00004399587,0.00001950521,0.00004870391,0.00004081793,0.9959143,0.0008096509,0.0005823025,0.00004613672],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973353,0.00005265215,0.00109065,0.0007769599,0.000132154,0.0005187847,0.00002829028,0.0000130899,0.00005210539],"genre_scores_gemma":[0.9980345,0.00002375153,0.001781517,0.00001489622,0.00001933518,0.00009079969,0.00000193661,0.000002825784,0.00003048007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0092216,"threshold_uncertainty_score":0.295227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008510627012103969,"score_gpt":0.2877947018130025,"score_spread":0.2792840748008986,"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."}}