{"id":"W3092221573","doi":"10.3390/en13205305","title":"Image Characteristic Extraction of Ice-Covered Outdoor Insulator for Monitoring Icing Degree","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"National Key Research and Development Program of China; Natural Science Foundation of Tianjin City","keywords":"Icing; Insulator (electricity); Icing conditions; Canny edge detector; Edge detection; Image processing; Computer vision; Remote sensing; Environmental science; Artificial intelligence; Computer science; Meteorology; Acoustics; Geology; Engineering; Physics; Electrical engineering; Image (mathematics)","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":[0.0001403108,0.0004157535,0.0003074891,0.002386172,0.0001451317,0.0004114351,0.0002637953,0.000424639,0.001295154],"category_scores_gemma":[0.0004317531,0.000143537,0.0002961197,0.001321799,0.0001301945,0.0004452004,0.0001921623,0.0002327833,0.000516511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001716126,"about_ca_system_score_gemma":0.0002473064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001611027,"about_ca_topic_score_gemma":0.001670588,"domain_scores_codex":[0.9998574,0.000006961909,0.000009539844,0.00003831392,0.00005796373,0.00002986174],"domain_scores_gemma":[0.9997695,0.00003105629,0.00003760755,0.00001710554,0.0001212622,0.00002344395],"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":[0.0004724518,0.0001108128,0.008899795,0.0005377643,0.00005196472,0.0008738634,0.0002673901,0.005837212,0.7220328,0.0006023757,0.003410318,0.2569031],"study_design_scores_gemma":[0.00004888261,0.0004787434,0.1951715,0.00008148309,0.0002576703,0.002669446,0.000613277,0.2566718,0.5323381,0.0005982677,0.01096622,0.0001045884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6582577,0.001003084,0.3276809,0.0001428271,0.0000927531,0.0002292434,0.001844689,0.002765173,0.007983542],"genre_scores_gemma":[0.8168001,0.0009838643,0.1766524,0.00009969481,0.00008384704,0.000130361,0.00161623,0.0001197509,0.003513815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002386172,"threshold_uncertainty_score":0.004332721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03732302654681833,"score_gpt":0.2524171548342306,"score_spread":0.2150941282874123,"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."}}