{"id":"W2609847787","doi":"10.1007/s11665-017-2690-y","title":"Characterization of Thermal, Mechanical and Tribological Properties of Fluoropolymer Composite Coatings","year":2017,"lang":"en","type":"article","venue":"Journal of Materials Engineering and Performance","topic":"Tribology and Wear Analysis","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor; Natural Resources Canada","funders":"Natural Resources Canada","keywords":"Materials science; Composite material; Thermal conductivity; Tribology; Silicon carbide; Boron nitride; Graphite; Composite number; Laser flash analysis; Coating; Surface roughness","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002898609,0.0002471619,0.0002347796,0.0004048271,0.0002061809,0.0002727773,0.0002346436,0.0003392315,0.0009737413],"category_scores_gemma":[0.000577122,0.0001517224,0.0002438189,0.0002414746,0.0001812217,0.000248615,0.00007976736,0.0002997435,0.0001737263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002543447,"about_ca_system_score_gemma":0.0001852233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001413726,"about_ca_topic_score_gemma":0.002194228,"domain_scores_codex":[0.9996928,0.00001369824,0.00002360101,0.00006081627,0.0001553565,0.00005368716],"domain_scores_gemma":[0.9996701,0.0000962173,0.00006051757,0.00003787168,0.0001127485,0.0000224564],"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":[0.00005541136,0.00001024364,0.0002566213,0.00001542026,0.000003094942,0.0000308765,0.00001264342,0.00007221789,0.9980299,0.00001065598,0.00001579082,0.001487071],"study_design_scores_gemma":[0.000004638856,0.0001526014,0.01094438,0.000002331949,0.00001069128,0.0001257519,0.00001630643,0.0009645491,0.9873768,0.000007742306,0.000388531,0.000005759012],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966749,0.0004938975,0.00188446,0.00001376461,0.000009964185,0.00001678396,0.0001734825,0.00002379523,0.0007089276],"genre_scores_gemma":[0.997252,0.0001691704,0.001411008,0.000009732436,0.000003035794,0.00001096633,0.0001833811,0.00001114666,0.0009494364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001413726,"threshold_uncertainty_score":0.003257453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107009930035126,"score_gpt":0.1914771376130745,"score_spread":0.1804070383127232,"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."}}