{"id":"W3199537811","doi":"10.3390/ma14185355","title":"Proven Anti-Wetting Properties of Molybdenum Tested for High-Temperature Corrosion-Resistance with Potential Application in the Aluminum Industry","year":2021,"lang":"en","type":"article","venue":"Materials","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Centre québécois de recherche et de développement de l’aluminium; Université de Sherbrooke; Alcoa","keywords":"Materials science; Alloy; Corrosion; Sessile drop technique; Wetting; Molybdenum; van der Waals force; Surface energy; Contact angle; Aluminium; Metallurgy; Drop (telecommunication); Composite material; Chemistry; Organic chemistry","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":[0.0001128877,0.0002553344,0.0002251283,0.0001840855,0.0001242486,0.0002048707,0.0003419842,0.0002453501,0.001463221],"category_scores_gemma":[0.0002320249,0.0001319607,0.0003019238,0.0001483093,0.00008441246,0.0001149969,0.0001425228,0.0001796984,0.0001849755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002007988,"about_ca_system_score_gemma":0.00009663633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001274816,"about_ca_topic_score_gemma":0.001103056,"domain_scores_codex":[0.9999057,0.000005590726,0.000004176604,0.000015544,0.00005009218,0.00001887848],"domain_scores_gemma":[0.9999387,0.00001101972,0.0000174383,0.000006684747,0.00001975933,0.00000641105],"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":[0.000125785,0.00003090025,0.002258444,0.0001831515,0.00003178628,0.0001203904,0.00004010888,0.008700149,0.9831193,0.0002873637,0.0001251378,0.004977599],"study_design_scores_gemma":[0.00001927141,0.000498505,0.009453452,0.00001203339,0.00003669075,0.0001080813,0.00003691608,0.07980631,0.9075492,0.00008889927,0.002376873,0.00001379285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956415,0.0005611809,0.002550983,0.00002583343,0.00001581122,0.000007786797,0.0001914896,0.00009422722,0.0009112905],"genre_scores_gemma":[0.9977095,0.0001826193,0.001542627,0.000004008085,0.000002388398,0.000005072674,0.0001074619,0.00001487203,0.0004313882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001463221,"threshold_uncertainty_score":0.004895031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007467149486282063,"score_gpt":0.1845293807902839,"score_spread":0.1770622313040018,"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."}}