{"id":"W3048020945","doi":"","title":"Preparation & Tribological Characterization of Graphene Enriched Ni-P Coatings on X70 Pipelne Steel","year":2020,"lang":"en","type":"article","venue":"CORROSION","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Materials science; Tribology; Graphene; Characterization (materials science); Metallurgy; Composite material; Nanotechnology","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":[0.000131281,0.0002175459,0.0001959475,0.0003100401,0.0003288431,0.0002259319,0.0003094138,0.0002964247,0.001551329],"category_scores_gemma":[0.000201017,0.0001668698,0.0001772785,0.0002356087,0.0001482476,0.0001619442,0.0001444632,0.0002881523,0.0003702999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000194128,"about_ca_system_score_gemma":0.0001339277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001745064,"about_ca_topic_score_gemma":0.005553092,"domain_scores_codex":[0.9998137,0.00001107408,0.00001062449,0.00003635125,0.00008999468,0.00003822276],"domain_scores_gemma":[0.9999105,0.000009856532,0.00001156975,0.00001423212,0.00004251175,0.0000112915],"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":[0.0000377633,0.000008791596,0.0001594159,0.00002910514,0.000002817092,0.00004514983,0.00002657038,0.00009769492,0.998437,0.00001884686,0.00005962888,0.001077175],"study_design_scores_gemma":[0.000003235206,0.0001464612,0.009490522,0.000004948243,0.000007780263,0.00005477272,0.00006935062,0.0008707842,0.9881032,0.00001092488,0.001231125,0.000007001272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964527,0.0002251944,0.00114176,0.00003057112,0.00001486214,0.00001667097,0.0002279519,0.00004777968,0.001842524],"genre_scores_gemma":[0.9929147,0.0002247928,0.002956902,0.00002257909,0.000004783813,0.00001542253,0.0003951016,0.00002171294,0.0034441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001745064,"threshold_uncertainty_score":0.005189717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237888396048749,"score_gpt":0.2258746498211269,"score_spread":0.2034957658606394,"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."}}