{"id":"W2962318682","doi":"10.1002/adfm.201901991","title":"Multifunctional Optoelectronics via Harnessing Defects in Layered Black Phosphorus","year":2019,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"2D Materials and Applications","field":"Materials Science","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Western Australia; RMIT University; Australian Research Council; Ontario Ministry of Natural Resources and Forestry; Australian National Fabrication Facility","keywords":"Conformable matrix; Neuromorphic engineering; Materials science; Black phosphorus; Nanotechnology; Wearable computer; Wearable technology; Underpinning; Optoelectronics; Computer science; Artificial intelligence; Engineering; Embedded system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004637928,0.0002955511,0.0004206712,0.0001101045,0.0001481082,0.0001949453,0.0002135127,0.0001425707,0.00821896],"category_scores_gemma":[0.00005394968,0.0002847914,0.00006540937,0.0002415345,0.00008665429,0.0005489136,0.0001056546,0.0001082998,0.004508565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000204447,"about_ca_system_score_gemma":0.0001223089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006702919,"about_ca_topic_score_gemma":0.00001141029,"domain_scores_codex":[0.9977016,0.00009754091,0.0005984867,0.0006677087,0.0003629909,0.0005716584],"domain_scores_gemma":[0.9990072,0.0001387514,0.0002455961,0.0003930821,0.0001232426,0.00009210471],"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":[0.0003541635,0.0001122841,0.0003916848,0.0000395145,0.000006475592,0.000002185196,0.00002692826,0.008357435,0.9837848,0.006442725,0.0001167741,0.0003650323],"study_design_scores_gemma":[0.001365968,0.00008876816,0.0135548,0.00005544753,0.00001053342,0.0000155706,0.00004002376,0.0001750466,0.9747003,0.004794951,0.004825898,0.0003726417],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925237,0.0001124853,0.00292411,0.0001239363,0.002742022,0.0006114115,0.00009883206,0.0001629615,0.0007005325],"genre_scores_gemma":[0.9956772,0.00002803348,0.002511468,0.0002676349,0.0002546581,0.0002282401,0.0001783537,0.00005051339,0.0008039303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01316311,"threshold_uncertainty_score":0.9999604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0100290526440249,"score_gpt":0.236489622933341,"score_spread":0.2264605702893161,"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."}}