{"id":"W2442240527","doi":"10.1126/sciadv.1700930","title":"A photonic platform for donor spin qubits in silicon","year":2017,"lang":"en","type":"preprint","venue":"Science Advances","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Qubit; Quantum computer; Photonics; Spins; Optoelectronics; Silicon; Physics; Quantum entanglement; Silicon photonics; Quantum; Topology (electrical circuits); Nanotechnology; Quantum mechanics; Computer science; Materials science; Electrical engineering; Engineering; Condensed matter physics","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":[0.0002809185,0.0003046702,0.0002008517,0.0002633952,0.0003896412,0.001110098,0.0005923516,0.0005582261,0.003802279],"category_scores_gemma":[0.0002818513,0.0001623136,0.0001432177,0.0001898383,0.0004245971,0.0006084281,0.0006514824,0.0005600653,0.0008332871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006201509,"about_ca_system_score_gemma":0.0003760481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002419231,"about_ca_topic_score_gemma":0.0006037218,"domain_scores_codex":[0.9998183,0.0000173247,0.000007072898,0.00004194762,0.00008144611,0.000034054],"domain_scores_gemma":[0.9997755,0.00004857659,0.00006434647,0.0000513687,0.00002718751,0.00003311606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001831853,0.0003076408,0.0006493667,0.0001868969,0.00003495167,0.0001880452,0.00009744965,0.001947915,0.9209576,0.06144826,0.002583033,0.01141565],"study_design_scores_gemma":[0.00007199081,0.0005050058,0.0007593755,0.0000303211,0.00003255126,0.0001835844,0.0001134217,0.02293328,0.9508246,0.007248679,0.01725969,0.00003754804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381558,0.001390089,0.02848233,0.0007077387,0.0005337159,0.00007688122,0.0005699127,0.0005263392,0.02955725],"genre_scores_gemma":[0.9845883,0.0004609936,0.01166462,0.0001051665,0.00004272394,0.00005346072,0.0001998681,0.00004358047,0.002841391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003802279,"threshold_uncertainty_score":0.01271987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0227935805245551,"score_gpt":0.3058320498927158,"score_spread":0.2830384693681607,"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."}}