{"id":"W2751120189","doi":"10.1016/j.oceaneng.2017.08.022","title":"Silicone based superhydrophobic coating efficient to reduce ice adhesion and accumulation on aluminum under offshore arctic conditions","year":2017,"lang":"en","type":"article","venue":"Ocean Engineering","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Coating; Materials science; Composite material; Silicone; Adhesion; Scanning electron microscope; Environmental scanning electron microscope; Contact angle; Surface roughness; Superhydrophobic coating","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":[0.00007659012,0.0001833458,0.0001231581,0.0001704887,0.0001661161,0.0001632427,0.0001313256,0.0001546119,0.0008430182],"category_scores_gemma":[0.00009417535,0.0001325921,0.0001820495,0.00009713753,0.00009439157,0.0001462711,0.0001692535,0.0001819883,0.0001904954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001539216,"about_ca_system_score_gemma":0.0001759065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008699902,"about_ca_topic_score_gemma":0.00269445,"domain_scores_codex":[0.9999342,0.000004704551,0.000002995458,0.00001052398,0.00002852857,0.00001905825],"domain_scores_gemma":[0.9999455,0.000005802567,0.00001512547,0.000004918675,0.00002063425,0.000007938834],"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":[0.00002159383,0.000004256044,0.0001658272,0.00002367107,0.000001744679,0.00003601895,0.00001587931,0.0001225029,0.99854,0.00002908695,0.00004682642,0.0009925381],"study_design_scores_gemma":[0.000002756626,0.0001074273,0.002075877,0.000002836687,0.000008911442,0.00006841771,0.0000390077,0.001542974,0.9950753,0.00001361663,0.001058885,0.000004079963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965758,0.0002272991,0.001810988,0.00002686876,0.00002290911,0.000005807967,0.00004271593,0.00003533131,0.001252252],"genre_scores_gemma":[0.9954586,0.0002130314,0.001772288,0.00001952774,0.000005826179,0.000004774182,0.00004457582,0.000009419468,0.002472094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008699902,"threshold_uncertainty_score":0.002820194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03880784615102108,"score_gpt":0.2900847501316904,"score_spread":0.2512769039806693,"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."}}