{"id":"W2954775723","doi":"10.3934/matersci.2019.4.567","title":"Surface protection of Mg alloys in automotive applications: A review","year":2019,"lang":"en","type":"review","venue":"AIMS Materials Science","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Natural Resources Canada","funders":"","keywords":"Corrosion; Automotive industry; Coating; Materials science; Truck; Metallurgy; Material selection; Surface engineering; Corrosion fatigue; Automotive engineering; Composite material; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003293268,0.0004523547,0.001946129,0.0002229585,0.0001740477,0.0001674649,0.001796506,0.0001856735,0.001075158],"category_scores_gemma":[0.0002103411,0.0003407963,0.0001622923,0.001817342,0.0006558203,0.0004512431,0.0004821426,0.0001668013,0.001463268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002392458,"about_ca_system_score_gemma":0.001077215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003691612,"about_ca_topic_score_gemma":0.000008472298,"domain_scores_codex":[0.995765,0.0003074484,0.001535749,0.00114943,0.0006741487,0.000568209],"domain_scores_gemma":[0.9968431,0.0000849674,0.001270946,0.001320242,0.0003772682,0.0001034722],"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":[0.00001092801,0.0003033332,7.301098e-7,0.2137567,0.0000111282,0.000002058528,0.0001058764,0.0000201248,0.6008912,0.003232468,0.0002935948,0.1813719],"study_design_scores_gemma":[0.0001562362,0.0001171627,0.000006410694,0.04136687,0.0002670088,0.00003739437,0.00002533885,0.00001037334,0.04134613,0.0001763963,0.9157302,0.0007604809],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000544802,0.9902707,0.0001426772,0.0001137245,0.0004316859,0.007537503,0.0001806113,0.00009258691,0.000685654],"genre_scores_gemma":[0.0004778846,0.9952698,0.001098589,0.00007800716,0.00007047043,0.002524375,0.00002689485,0.0000430602,0.0004109577],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9154366,"threshold_uncertainty_score":0.9999044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07536062642761614,"score_gpt":0.3399099284366827,"score_spread":0.2645493020090666,"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."}}