{"id":"W4409502271","doi":"10.5006/c2020-14828","title":"Preparation & Tribological Characterization of Graphene Enriched Ni-P Coatings on X70 Pipelne Steel","year":2020,"lang":"en","type":"article","venue":"","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Emissions Reduction Alberta; Dalhousie University","funders":"","keywords":"Tribology; Materials science; Graphene; Metallurgy; Characterization (materials science); Corrosion; 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":[0.0001396505,0.0002650837,0.0001482919,0.0003566189,0.0002491567,0.0001934095,0.000237536,0.0002426073,0.001305279],"category_scores_gemma":[0.0002219746,0.0001298497,0.0001473269,0.0002471443,0.0001490586,0.000137084,0.0001236564,0.0002008218,0.0003212512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001498818,"about_ca_system_score_gemma":0.000101952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001485553,"about_ca_topic_score_gemma":0.004316723,"domain_scores_codex":[0.9998153,0.00001533076,0.00001301916,0.00003663034,0.00009286599,0.0000269995],"domain_scores_gemma":[0.9998853,0.00001250076,0.00001824507,0.00001324031,0.00005545998,0.00001525139],"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":[0.00001732288,0.00000582911,0.0001110094,0.00001972297,0.000001585556,0.00003912847,0.00001689645,0.00004685517,0.9988035,0.00001036775,0.00002383082,0.0009040465],"study_design_scores_gemma":[0.000002796902,0.0001474231,0.008288089,0.000004373975,0.000007184412,0.00006204757,0.00005527938,0.0008569697,0.9896575,0.000008036719,0.0009043996,0.000005768544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955942,0.0002731633,0.002013393,0.00002458716,0.00001862499,0.00002477305,0.0003168581,0.00005401333,0.001680272],"genre_scores_gemma":[0.993294,0.0001778441,0.003864159,0.00001685643,0.000003714694,0.00002168749,0.0003055067,0.00002037546,0.002295797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001485553,"threshold_uncertainty_score":0.004366577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0303593308516331,"score_gpt":0.2352130105534483,"score_spread":0.2048536797018152,"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."}}