{"id":"W6894371418","doi":"10.5683/sp3/hry0uo","title":"Imperfect Quantum Photonic Neural Networks dataset","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Artificial neural network; Photonics; Quantum; Imperfect; Quantum computer","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001166971,0.001139007,0.001155584,0.0005242115,0.0005209654,0.0003568604,0.003010787,0.0005667068,0.05098768],"category_scores_gemma":[0.0002644955,0.001154036,0.0004027539,0.0008581502,0.0002387042,0.0003544299,0.001761078,0.002564774,0.0004652732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006223082,"about_ca_system_score_gemma":0.0002905733,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2674498,"about_ca_topic_score_gemma":0.06381358,"domain_scores_codex":[0.9939404,0.0008997285,0.0008598574,0.001524346,0.001292694,0.001482947],"domain_scores_gemma":[0.993407,0.0003299628,0.0007589499,0.004998535,0.00006434861,0.0004412465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002022946,0.0001786668,0.000002861399,0.00007485256,0.0002330244,0.0008512045,0.000009056615,0.001214028,0.000004585727,0.00001070451,0.9970993,0.0001194378],"study_design_scores_gemma":[0.0006587252,0.0002545627,0.00005159207,0.00002242478,0.0004529591,0.0002358872,0.00003030549,0.007167035,0.000002228328,0.00001242809,0.9899177,0.00119415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000102404,0.001479418,0.000001177035,0.0000450444,0.001007247,0.0009095167,0.996174,0.000316799,0.00005658123],"genre_scores_gemma":[0.00001228499,0.0007987345,0.000004106771,0.001007458,0.0007563425,0.000533584,0.9965103,0.0003643827,0.00001284122],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2036363,"threshold_uncertainty_score":0.9997364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02188117435507601,"score_gpt":0.2851159580102399,"score_spread":0.2632347836551639,"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."}}