{"id":"W4414100412","doi":"10.1021/acsphotonics.5c01710","title":"Mode Visualization and Control of Complex Lasers Using Neural Networks","year":2025,"lang":"en","type":"article","venue":"ACS Photonics","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Engineering and Physical Sciences Research Council; Vlaamse regering; Fonds Wetenschappelijk Onderzoek; Imperial College London","keywords":"Lasing threshold; Laser; Artificial neural network; Photonics; Visualization; Modal; Mode (computer interface)","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":[],"consensus_categories":[],"category_scores_codex":[0.0001326215,0.0001036666,0.0001874791,0.00006467257,0.0001361979,0.000081508,0.0003430795,0.00005657809,9.157019e-7],"category_scores_gemma":[0.00001427025,0.00009442729,0.000037827,0.0004063225,0.00004880206,0.0001575251,0.0002527976,0.0001013005,1.013952e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001792955,"about_ca_system_score_gemma":0.00003024555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005428839,"about_ca_topic_score_gemma":0.00001001799,"domain_scores_codex":[0.9991549,0.00006293447,0.0002304919,0.0002261866,0.0001131899,0.0002122584],"domain_scores_gemma":[0.9993942,0.0001238502,0.0001083413,0.0002542338,0.00007752279,0.00004181324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001198664,0.0000239846,0.001459244,0.00002764725,0.00002457755,0.000004157485,0.00007510412,0.9729747,0.002720692,0.01893518,0.0001117561,0.003630928],"study_design_scores_gemma":[0.0004009151,0.00002635718,0.0003599849,0.00003379213,0.00001098894,0.00000470976,0.000008393108,0.9976754,0.0006734279,0.0005365503,0.0001852071,0.00008426639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3633177,0.0003255793,0.6358075,0.0001093809,0.0002061246,0.0001150843,8.349666e-7,0.00003958383,0.00007825831],"genre_scores_gemma":[0.9954143,0.00004169963,0.003828763,0.0006717442,0.0000202051,0.000001400781,0.000002146721,0.000005668414,0.00001408126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6320966,"threshold_uncertainty_score":0.3850633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748833650789643,"score_gpt":0.2887033427907235,"score_spread":0.271215006282827,"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."}}