{"id":"W3025804170","doi":"10.1149/ma2020-01142944mtgabs","title":"Lithium Carbonate as a Corrosion Inhibitor for Mg Alloy Sheet Metal Product","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Corrosion; Materials science; Cathodic protection; Dissolution; Alloy; Oxide; Aqueous solution; Formability; Metallurgy; Polarization (electrochemistry); Coating; Metal; Anode; Chemical engineering; Composite material; Electrode; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121377,0.0002749769,0.0002417575,0.0001927671,0.0001196094,0.0002484508,0.0004664731,0.0002619013,0.00105664],"category_scores_gemma":[0.0002624592,0.0001617755,0.0002177312,0.0001693437,0.0001248652,0.000139611,0.0001489004,0.0002664029,0.0002750013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002282685,"about_ca_system_score_gemma":0.0002307539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002305049,"about_ca_topic_score_gemma":0.004491128,"domain_scores_codex":[0.9998205,0.00003629195,0.00001669555,0.0000240542,0.00007640081,0.00002608167],"domain_scores_gemma":[0.9998325,0.00003410672,0.00004303556,0.00001586766,0.00005241507,0.00002199923],"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":[0.0002979963,0.00005060888,0.0003324224,0.0001031261,0.00001008149,0.00005795496,0.00002112742,0.0001992104,0.9960764,0.00002979615,0.00009282601,0.002728411],"study_design_scores_gemma":[0.000009645387,0.0009079055,0.001445755,0.000005620613,0.00001293787,0.00008213166,0.00001202526,0.0009847776,0.9953982,0.000003594431,0.001134641,0.000002793005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994868,0.001437073,0.001410246,0.00007824522,0.00002089027,0.00003160256,0.0001614182,0.0001019268,0.001890539],"genre_scores_gemma":[0.9923245,0.000987349,0.002862034,0.00002788413,0.00000662037,0.00001262482,0.0002995408,0.00001928067,0.003460275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002305049,"threshold_uncertainty_score":0.00458324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0260489093014167,"score_gpt":0.2476002141651216,"score_spread":0.2215513048637049,"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."}}