{"id":"W3090600068","doi":"10.1038/s41598-020-73368-7","title":"Wide-angle, wide-band, polarization-insensitive metamaterial absorber for thermal energy harvesting","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Rectenna; Materials science; Metamaterial absorber; Optoelectronics; Metamaterial; Molar absorptivity; Resonator; Optics; Impedance matching; Diode; Energy harvesting; Split-ring resonator; Figure of merit; Polarization (electrochemistry); Electrical impedance; Physics; Chemistry; Energy (signal processing)","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001916949,0.0002637966,0.0004463584,0.0000727281,0.0007869164,0.001088701,0.0002539386,0.00009792961,0.0008853954],"category_scores_gemma":[0.00107595,0.0002256912,0.0001547129,0.0004074046,0.0002529385,0.0004865869,0.0001038483,0.00004991348,0.0001228814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002760158,"about_ca_system_score_gemma":0.000191789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001601604,"about_ca_topic_score_gemma":0.00002494204,"domain_scores_codex":[0.996758,0.000145548,0.0009246593,0.001140444,0.0005259865,0.0005053704],"domain_scores_gemma":[0.9977279,0.000171928,0.0006927965,0.000688224,0.0004299498,0.0002891846],"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":[0.00003611802,0.00003195815,0.0003428487,0.00003104918,0.00001787407,0.00002837668,0.0003123036,0.0002508949,0.993015,0.000688841,0.005022692,0.0002220795],"study_design_scores_gemma":[0.0001980837,0.00003236975,0.0003341057,0.00001462398,0.00007489581,0.00002546617,0.00004356712,0.0002252472,0.9044419,0.001674117,0.09268069,0.0002549237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705659,0.00009269895,0.01963662,0.0009301418,0.007255625,0.0006022504,0.00009142593,0.000201839,0.0006235324],"genre_scores_gemma":[0.9864886,0.000001778489,0.009878254,0.0006538975,0.0003590255,0.0001544159,0.0002931788,0.00004942893,0.002121357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08857306,"threshold_uncertainty_score":0.9999483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02877736534723414,"score_gpt":0.2455927136278853,"score_spread":0.2168153482806511,"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."}}