{"id":"W4362719804","doi":"10.1016/j.coldregions.2023.103858","title":"Experimental assessment of the ice protection effectiveness of icephobic coatings for a hovering drone rotor","year":2023,"lang":"en","type":"article","venue":"Cold Regions Science and Technology","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Icing; Aerodynamics; Drone; Materials science; Rotor (electric); Icing conditions; Coating; Environmental science; Repeatability; Degradation (telecommunications); Marine engineering; Automotive engineering; Aerospace engineering; Composite material; Computer science; Mechanical engineering; Engineering; Meteorology; Physics","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":[0.0001803221,0.000286247,0.0001831999,0.000160723,0.0003330641,0.000226548,0.0003495337,0.0005984679,0.002567247],"category_scores_gemma":[0.0004592227,0.0001431215,0.0001992958,0.00008798721,0.0003114233,0.0002442095,0.0002010989,0.0003355983,0.0002744214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000178751,"about_ca_system_score_gemma":0.0001734173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362091,"about_ca_topic_score_gemma":0.002113684,"domain_scores_codex":[0.9998698,0.00001029336,0.000006725658,0.0000287683,0.00004673637,0.00003774006],"domain_scores_gemma":[0.9996079,0.0001171896,0.00005609783,0.00004780803,0.0001336109,0.00003745605],"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":[0.000420011,0.0001577564,0.0005610645,0.00007994811,0.00000551134,0.00008114611,0.00005728562,0.0008559481,0.9950009,0.00004153322,0.00008620388,0.002652739],"study_design_scores_gemma":[0.00004297234,0.003726957,0.007466637,0.00001098605,0.00002127758,0.00008267991,0.0001478647,0.004676165,0.9829015,0.00001846119,0.0008928434,0.00001159087],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998275,0.0000749636,0.0006769605,0.0000148869,0.00001799044,0.00002039049,0.00007983167,0.00001431522,0.0008256375],"genre_scores_gemma":[0.9979573,0.00009223558,0.0009314162,0.00001270719,0.00000295267,0.000007690166,0.00006369601,0.000006375165,0.000925581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002567247,"threshold_uncertainty_score":0.008588374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639394750031668,"score_gpt":0.2705903095950895,"score_spread":0.2541963620947728,"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."}}