{"id":"W2492376683","doi":"10.1007/s11665-016-2247-5","title":"Preparation and Performance of Plasma/Polymer Composite Coatings on Magnesium Alloy","year":2016,"lang":"en","type":"article","venue":"Journal of Materials Engineering and Performance","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Materials science; Coating; Wetting; Composite material; Contact angle; Polymer; Layer (electronics); Composite number; Microstructure; Magnesium alloy","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":[],"consensus_categories":[],"category_scores_codex":[0.000400634,0.0001292076,0.0002498385,0.00007193332,0.00006844923,0.00004621483,0.0001106537,0.0000476418,0.00008288727],"category_scores_gemma":[0.00001654423,0.00008100124,0.00001936556,0.00004140437,0.00005465167,0.0003209728,0.00003690852,0.00004248245,0.000008168453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001288863,"about_ca_system_score_gemma":0.00001650979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006625975,"about_ca_topic_score_gemma":2.57179e-7,"domain_scores_codex":[0.9991046,0.00001804364,0.0004423774,0.0001156576,0.0001676561,0.0001516286],"domain_scores_gemma":[0.9994071,0.00005133948,0.0002837301,0.000114763,0.00007876591,0.00006427661],"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":[0.000352028,0.00001749822,0.0006220884,0.000296327,0.000003218703,4.263247e-7,0.000122097,0.0003461452,0.9972713,0.000101481,0.00002346519,0.0008439427],"study_design_scores_gemma":[0.0004293209,0.0008336224,0.008456531,0.0002289903,0.00001738062,0.00007085802,0.000007226246,0.0009632963,0.9884558,0.000001282364,0.0004192393,0.0001164959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992355,0.0001238879,0.00004902175,0.0001539501,0.0002744161,0.00007866233,0.00001242877,0.00001605526,0.00005610985],"genre_scores_gemma":[0.9985312,0.0003702935,0.0007285108,0.0000193023,0.0001432656,0.000007355226,6.259346e-7,0.00001270891,0.0001866984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008815526,"threshold_uncertainty_score":0.3303134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00785463020890672,"score_gpt":0.2048622197387572,"score_spread":0.1970075895298504,"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."}}