{"id":"W2021021915","doi":"10.1038/nphoton.2009.84","title":"Quantum optics on a chip","year":2009,"lang":"en","type":"article","venue":"Nature Photonics","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Photonics; Scalability; Quantum optics; Photon; Chip; Quantum computer; Quantum imaging; Quantum; Physics; Quantum technology; Computation; Computer science; Optoelectronics; Quantum network; Optics; Quantum mechanics; Open quantum system; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002128774,0.0003071674,0.0003713743,0.0003244649,0.0004621602,0.001119814,0.0006736366,0.0008579963,0.01660269],"category_scores_gemma":[0.0007070842,0.0002832326,0.0002106088,0.0002833239,0.0006958944,0.001951299,0.000935041,0.001036822,0.002926167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004960553,"about_ca_system_score_gemma":0.0005412408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006203984,"about_ca_topic_score_gemma":0.001231948,"domain_scores_codex":[0.9997461,0.00002392964,0.000007426176,0.00004046078,0.0001468394,0.00003525769],"domain_scores_gemma":[0.9996588,0.00008865299,0.00001905304,0.0001027759,0.00009055086,0.00004012105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002711862,0.0002581789,0.000919683,0.0003506746,0.0001250469,0.0002025822,0.0002039814,0.01060388,0.3181469,0.4584286,0.05342206,0.1570673],"study_design_scores_gemma":[0.0001041816,0.000311024,0.001434606,0.0001098009,0.0001050663,0.0003370817,0.0001873518,0.252697,0.1776486,0.2041787,0.3627568,0.0001297143],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2102907,0.006804524,0.406899,0.01152318,0.006353799,0.0002815209,0.0006198122,0.004946249,0.3522812],"genre_scores_gemma":[0.7759284,0.002309749,0.1104722,0.001600739,0.0005884394,0.0001452135,0.0002942884,0.0002997074,0.1083612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01660269,"threshold_uncertainty_score":0.05554157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009797063324243056,"score_gpt":0.2551439078015051,"score_spread":0.245346844477262,"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."}}