{"id":"W7046961549","doi":"","title":"Entangled cavity state generation through engineered dissipation","year":2018,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Adiabatic process; Dissipation; Parametric statistics; Nonlinear system; State (computer science); High fidelity; Spontaneous parametric down-conversion; Fidelity","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":[0.0002482374,0.0002650602,0.0002047693,0.0002122275,0.0004060436,0.000483838,0.0007743772,0.0003081415,0.0020812],"category_scores_gemma":[0.0005884584,0.0001991626,0.0001361647,0.000195238,0.0008383308,0.0006863771,0.0008768737,0.0004814032,0.0002529667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005190085,"about_ca_system_score_gemma":0.0002796766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001991712,"about_ca_topic_score_gemma":0.0004582692,"domain_scores_codex":[0.9998323,0.00002861028,0.000007648215,0.0000306281,0.00006618906,0.0000346417],"domain_scores_gemma":[0.9997123,0.00007587919,0.00004997909,0.0001184966,0.00002546315,0.00001792652],"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":[0.0001524407,0.0001422778,0.0009519539,0.0001527907,0.00002520505,0.0002332889,0.0004319339,0.03384247,0.5381522,0.391848,0.0007992085,0.03326835],"study_design_scores_gemma":[0.00007336165,0.0002702692,0.0007700333,0.00002489524,0.00002044426,0.000170169,0.00004648033,0.4994432,0.4451962,0.04341584,0.01051475,0.00005440235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5837685,0.0004720291,0.3962507,0.0004166214,0.0001033789,0.00008322469,0.00009364122,0.0006454555,0.01816637],"genre_scores_gemma":[0.9721829,0.00008273042,0.02450568,0.00002356181,0.000008670616,0.00003110547,0.00001473344,0.00002355448,0.003126877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0020812,"threshold_uncertainty_score":0.00696224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01936885931292345,"score_gpt":0.2676765967879224,"score_spread":0.248307737474999,"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."}}