{"id":"W2971967970","doi":"10.1103/physreva.100.042332","title":"Entanglement generation via diffraction","year":2019,"lang":"en","type":"article","venue":"Physical review. A/Physical review, A","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quantum entanglement; Quantum metrology; Beam splitter; Quantum sensor; Interferometry; Quantum technology; Physics; Quantum network; Quantum; Computer science; Quantum mechanics; Open quantum system; Laser","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":[0.0006107646,0.0003485335,0.0004425886,0.0005686656,0.0008676602,0.001783922,0.0005487844,0.001052482,0.005424005],"category_scores_gemma":[0.001385393,0.0003886657,0.0003624805,0.0005262884,0.002864237,0.002967865,0.002343854,0.001552214,0.001132163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007858737,"about_ca_system_score_gemma":0.0005535487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002071727,"about_ca_topic_score_gemma":0.0002125959,"domain_scores_codex":[0.9994528,0.0001116327,0.00002387412,0.0001000494,0.000220953,0.00009069916],"domain_scores_gemma":[0.9994162,0.0003157046,0.00006814165,0.0001138888,0.0000530462,0.00003303406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000243816,0.0000226399,0.0002038732,0.0002037939,0.00001148465,0.0001007054,0.0001467709,0.001459775,0.02165087,0.9605371,0.001935147,0.01370343],"study_design_scores_gemma":[0.00004468866,0.000139539,0.0005011171,0.0001405249,0.00001955433,0.0007277973,0.0001623352,0.01758068,0.07605419,0.8011492,0.103411,0.00006922076],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1392884,0.04754391,0.4820625,0.008973453,0.002127968,0.0002642554,0.0004421028,0.0007031484,0.3185942],"genre_scores_gemma":[0.9070982,0.01913911,0.04486936,0.001361386,0.0005366695,0.0002323936,0.0002180302,0.0001132169,0.02643171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005424005,"threshold_uncertainty_score":0.01814508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547676616008392,"score_gpt":0.3364839732323949,"score_spread":0.321007207072311,"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."}}