{"id":"W4213284995","doi":"10.1002/adts.202100604","title":"Ultra‐Wideband, Polarization‐Independent, Wide‐Angle Multilayer Swastika‐Shaped Metamaterial Solar Energy Absorber with Absorption Prediction using Machine Learning","year":2022,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Absorptance; Optics; Wideband; Polarization (electrochemistry); Materials science; Absorption (acoustics); Optoelectronics; Physics; Chemistry; Reflectivity","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":[0.0001335265,0.000200706,0.0001784839,0.0001161627,0.00007749139,0.0001598217,0.0002299612,0.0002623711,0.0003084395],"category_scores_gemma":[0.0002207387,0.0001137073,0.0002770234,0.0001223989,0.00009440967,0.0002665689,0.0001395045,0.0002026281,0.00009388805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001432413,"about_ca_system_score_gemma":0.0001205853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006134681,"about_ca_topic_score_gemma":0.0007428087,"domain_scores_codex":[0.9999465,0.00001158083,0.000002726992,0.00001181639,0.00002154951,0.000005865689],"domain_scores_gemma":[0.999921,0.00003216455,0.00001615795,0.00001208856,0.00001533128,0.000003188311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001161601,0.00008946587,0.002413963,0.00006987659,0.0000571648,0.000100205,0.00003549223,0.6791015,0.2709251,0.001499797,0.0003170295,0.04527428],"study_design_scores_gemma":[0.0000015266,0.00001580735,0.0002062394,8.152497e-7,0.000002168525,0.000009179086,0.000001694072,0.9904333,0.009163032,0.00008769623,0.00007698216,0.000001553782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4792083,0.0001961085,0.5171018,0.0001157907,0.00001933433,0.00001464526,0.00004292283,0.0007066756,0.002594487],"genre_scores_gemma":[0.9453977,0.00006192044,0.05340543,0.00001153457,0.000003253446,0.00001586119,0.00002811645,0.00001231683,0.001063864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006134681,"threshold_uncertainty_score":0.001219749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279559671599568,"score_gpt":0.2410437740033652,"score_spread":0.2282481772873695,"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."}}