{"id":"W4224544505","doi":"10.1021/acsami.2c02236","title":"Thermal Insulation and Superhydrophobicity Synergies for Passive Snow Repellency","year":2022,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; University of Toronto","funders":"Ministère de la Défense Nationale; Canada Foundation for Innovation","keywords":"Materials science; Snow; Thermal insulation; Composite material; Layer (electronics); Meltwater; Adhesive; Aerogel; Thermal; Meteorology","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":[0.0001314838,0.0004302965,0.000263287,0.0002509737,0.0001631746,0.0002668417,0.0002230358,0.0003681751,0.001054012],"category_scores_gemma":[0.0001336379,0.0002179108,0.0003409515,0.0001265859,0.0002310493,0.00041587,0.0004593959,0.0004879209,0.0003144167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001270429,"about_ca_system_score_gemma":0.0001619036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001735981,"about_ca_topic_score_gemma":0.0005696947,"domain_scores_codex":[0.9998738,0.00001210814,0.000004735134,0.00002065442,0.00004885754,0.00003987279],"domain_scores_gemma":[0.9999328,0.00001722499,0.00001675681,0.000006292675,0.00001116766,0.00001564413],"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":[0.00001703822,0.00001312242,0.00005660102,0.0001162806,0.000009011605,0.00006648585,0.00001746057,0.0003157704,0.995269,0.0003960594,0.0001032248,0.00361992],"study_design_scores_gemma":[0.000009949203,0.0002808495,0.001188158,0.00001273301,0.00002750791,0.0003409397,0.00003028024,0.005990237,0.9858538,0.0002529747,0.005995804,0.00001680547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9307486,0.005076163,0.05181498,0.00027752,0.0001261353,0.0001156765,0.0001745003,0.0004272082,0.01123928],"genre_scores_gemma":[0.9854065,0.001392225,0.01143359,0.0001207515,0.00003639709,0.00005919183,0.00007003856,0.00002067873,0.001460491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001054012,"threshold_uncertainty_score":0.003526032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008201674130260865,"score_gpt":0.199392950879216,"score_spread":0.1911912767489552,"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."}}