{"id":"W3108823711","doi":"10.1364/josab.403604","title":"On-chip Ge, InGaAs, and colloidal quantum dot photodetectors: comparisons for application in silicon photonics","year":2020,"lang":"en","type":"article","venue":"Journal of the Optical Society of America B","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Optoelectronics; Photonics; Responsivity; Dark current; Photodetector; Indium gallium arsenide; Gallium arsenide; Materials science; Quantum dot; Silicon photonics; Silicon; Germanium; Bandwidth (computing); Indium arsenide; Computer science; Telecommunications","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":[0.0003289682,0.0002576878,0.0004313822,0.0004212288,0.000231506,0.0008876214,0.0004859646,0.0005655239,0.001856075],"category_scores_gemma":[0.0004952028,0.0001374593,0.0004295025,0.0005553465,0.0001545753,0.0007360444,0.0003055624,0.0001769536,0.0002588274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008046719,"about_ca_system_score_gemma":0.0003444464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003137474,"about_ca_topic_score_gemma":0.007146723,"domain_scores_codex":[0.9997738,0.00001657607,0.000006814233,0.00004060597,0.0001322226,0.00003009667],"domain_scores_gemma":[0.9998286,0.00006298386,0.00001530855,0.00002007062,0.0000641316,0.000008913319],"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":[0.001443462,0.0004331312,0.01362816,0.001798532,0.0003680413,0.0004037338,0.0002231342,0.04684893,0.7562388,0.007862619,0.002798166,0.1679532],"study_design_scores_gemma":[0.00009155227,0.004147974,0.03936026,0.0001027116,0.0004681858,0.0007932457,0.0004899461,0.1853674,0.7348692,0.001876863,0.03231579,0.0001168982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581446,0.01726691,0.007670692,0.0002113888,0.00007064375,0.00004731381,0.0003988387,0.0002888821,0.0159008],"genre_scores_gemma":[0.9800062,0.005986602,0.009365161,0.0000542999,0.00001255498,0.0000178275,0.0003780257,0.00003120736,0.004148198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003137474,"threshold_uncertainty_score":0.006238401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413638539996143,"score_gpt":0.2401948875130187,"score_spread":0.2260585021130573,"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."}}