{"id":"W4231554403","doi":"10.36227/techrxiv.12061809","title":"Transforming silicon into a high performing in tegrated nonlinear photonics platform by integrati on with 2D graphene oxide films","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Swinburne University of Technology; Australian Research Council; 1000 Talents Sichuan Program; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Silicon on insulator; Materials science; Nanowire; Optoelectronics; Photonics; Graphene; Coating; Cladding (metalworking); Silicon; Optics; Nanotechnology; Composite material; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003529955,0.0003080055,0.00009405805,0.0001376289,0.00006271504,0.0002157994,0.0001627224,0.0002357988,0.0005172103],"category_scores_gemma":[0.00005404432,0.0001394098,0.000164439,0.0001152585,0.00009098667,0.0001634984,0.000172947,0.0002250657,0.0002319618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001618924,"about_ca_system_score_gemma":0.0001034598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004912791,"about_ca_topic_score_gemma":0.001781565,"domain_scores_codex":[0.9999698,0.00000136658,0.0000013743,0.000007727147,0.00001168297,0.000007925554],"domain_scores_gemma":[0.9999703,0.000004764393,0.00001056269,0.000003933675,0.000004945452,0.000005484149],"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":[0.000005305211,0.000004689187,0.0000516944,0.00001064516,0.000002534412,0.00002399466,0.000004687792,0.0001564011,0.9991602,0.00007654698,0.00002027987,0.00048305],"study_design_scores_gemma":[0.000004051436,0.00007424673,0.0009896304,0.000002844654,0.000007637501,0.00003911106,0.00001260662,0.003618627,0.993917,0.00003550174,0.00129324,0.000005566169],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935649,0.0001720435,0.004003491,0.00003609324,0.00002170574,0.00001157532,0.0001814699,0.0001119476,0.001896795],"genre_scores_gemma":[0.9865581,0.0003663711,0.01039101,0.00003135446,0.000007390101,0.00002550479,0.0002768316,0.00003249425,0.002310855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005172103,"threshold_uncertainty_score":0.001730263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169896557271735,"score_gpt":0.239103123991077,"score_spread":0.2274041584183597,"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."}}