{"id":"W1482016573","doi":"10.5772/59181","title":"Corrosion of Materials in Liquid Magnesium Alloys and Its Prevention","year":2014,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Magnesium; Corrosion prevention; Corrosion; Materials science; Metallurgy","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":[0.0001512101,0.0005747371,0.0008662104,0.0003879836,0.0002788295,0.0009038993,0.0009044321,0.001144237,0.003517589],"category_scores_gemma":[0.000231307,0.0002793515,0.0005553528,0.0003822114,0.0003625505,0.0006485837,0.0006127341,0.0008315044,0.001667164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005631311,"about_ca_system_score_gemma":0.000291693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002032537,"about_ca_topic_score_gemma":0.00161091,"domain_scores_codex":[0.9997615,0.00002753553,0.000008487596,0.00002328762,0.0001333755,0.00004586959],"domain_scores_gemma":[0.9999467,0.00001250439,0.000009680466,0.000006279502,0.00002138398,0.000003527342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006961602,0.0003155354,0.001307955,0.005505739,0.0001065147,0.001460207,0.0004837315,0.006783403,0.5192244,0.04271632,0.0425307,0.3788694],"study_design_scores_gemma":[0.00004469207,0.001006333,0.005229278,0.0006924589,0.0001370324,0.003014921,0.0004523979,0.01468327,0.5407376,0.01739958,0.4165397,0.00006269035],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.204056,0.6298562,0.02573112,0.003558368,0.002337381,0.0001119253,0.0003667147,0.0008288068,0.1331535],"genre_scores_gemma":[0.6123624,0.1659742,0.007037037,0.0006727653,0.0008611656,0.00006930045,0.0005567521,0.0002141231,0.2122521],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003517589,"threshold_uncertainty_score":0.01176757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02341764545384239,"score_gpt":0.2436213761966202,"score_spread":0.2202037307427778,"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."}}