{"id":"W2743381956","doi":"10.1007/s40843-017-9069-3","title":"Monitoring magnesium degradation using microdialysis and fabric-based biosensors","year":2017,"lang":"en","type":"article","venue":"Science China Materials","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre hospitalier universitaire de Québec","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Magnesium; Biosensor; Microdialysis; Degradation (telecommunications); Cyclic voltammetry; Electrode; Analytical Chemistry (journal); Chemical engineering; Chromatography; Electrochemistry; Nanotechnology; Metallurgy; Chemistry; Biochemistry","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":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001160466,0.0001856393,0.0002341044,0.0001311769,0.002522043,0.002183832,0.0008380623,0.00005273436,0.0004259639],"category_scores_gemma":[0.0002648447,0.0001513563,0.00002918791,0.0001601423,0.000985215,0.0009748217,0.0002823194,0.00003620292,0.00006820253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006256688,"about_ca_system_score_gemma":0.0001263758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00129759,"about_ca_topic_score_gemma":0.000007136819,"domain_scores_codex":[0.9982706,0.0000510144,0.0003050713,0.000597076,0.000343379,0.0004329108],"domain_scores_gemma":[0.9985541,0.00001922378,0.0003321632,0.0008464555,0.0001114369,0.0001366505],"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":[0.00001128364,0.00001707557,0.00159726,0.00004228467,5.690584e-7,0.000001013376,0.000074815,0.00002402638,0.9975291,0.0001548357,0.000003443942,0.0005442623],"study_design_scores_gemma":[0.0001609231,0.00002156929,0.05273863,0.00002263614,0.00002772977,0.000005427922,0.00005816268,0.000320993,0.9462855,0.0001090463,0.00004974341,0.0001995839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975307,0.00004064559,0.0002013033,0.0005507976,0.001001853,0.0002475073,0.00003173811,0.00005599378,0.0003394872],"genre_scores_gemma":[0.9914134,0.00001023656,0.008093595,0.0000247867,0.0002129086,0.00002423991,0.000001871899,0.00001515173,0.000203852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05124357,"threshold_uncertainty_score":0.998852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03360203861785103,"score_gpt":0.2915226561313071,"score_spread":0.2579206175134561,"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."}}