{"id":"W3034789823","doi":"10.48550/arxiv.1005.1092","title":"Phase Space Engineering in Optical Microcavities I: Preserving near-field uniformity while inducing far-field directionality","year":2010,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Near and far field; Field (mathematics); Optics; Physics; Dielectric; Quality (philosophy); Optical cavity; Phase (matter); Directionality; Computational physics; Optoelectronics; Laser; Quantum mechanics","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":[0.0001731011,0.0002652571,0.0001755433,0.0001429246,0.00021723,0.0004454018,0.0001692767,0.0001956124,0.0005772645],"category_scores_gemma":[0.0003919771,0.000176975,0.0001398383,0.0001794771,0.0006312955,0.0003948224,0.0003068972,0.0002072324,0.0001576361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002932112,"about_ca_system_score_gemma":0.0001513095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003056967,"about_ca_topic_score_gemma":0.0003779673,"domain_scores_codex":[0.9999083,0.00001790515,0.000005912449,0.00002238103,0.00002484716,0.00002058537],"domain_scores_gemma":[0.9997537,0.00008830942,0.00008717868,0.00003106564,0.00002222551,0.00001763811],"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":[0.0001284417,0.00004663208,0.0006827004,0.0001034222,0.00000770177,0.00008173865,0.00009100015,0.006726102,0.9713579,0.01325202,0.0001050547,0.007417236],"study_design_scores_gemma":[0.00004275097,0.0003955165,0.001268206,0.00001132814,0.000009119159,0.0002307832,0.00005945889,0.04432344,0.9472986,0.00393796,0.002401407,0.00002135987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421504,0.001059278,0.0519583,0.0001995917,0.00003358382,0.00002428612,0.00004049155,0.0001338814,0.004400207],"genre_scores_gemma":[0.9811512,0.0004216951,0.01756334,0.00003001455,0.000008139679,0.00001623857,0.00001328044,0.00002353738,0.0007725487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005772645,"threshold_uncertainty_score":0.002127409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02398826623507799,"score_gpt":0.1812211665788062,"score_spread":0.1572329003437282,"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."}}