{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002973869,0.000261264,0.0001772558,0.0002189925,0.0001886643,0.0005094893,0.000371349,0.0002803972,0.0007583824],"category_scores_gemma":[0.0009197061,0.0001975151,0.0001911156,0.0001698212,0.0005491313,0.0008003882,0.0004931321,0.0004244925,0.00007100112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005602732,"about_ca_system_score_gemma":0.0003270566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001784298,"about_ca_topic_score_gemma":0.002039324,"domain_scores_codex":[0.9999,0.00003104317,0.000005726724,0.0000273445,0.00002619233,0.000009726912],"domain_scores_gemma":[0.9997368,0.0001415269,0.00005158005,0.00002784454,0.00002915293,0.00001298475],"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":[0.0001487901,0.00005799408,0.0008949034,0.0001069455,0.0000409616,0.00008621378,0.0001641431,0.7402434,0.1383828,0.02116722,0.0006565144,0.09805011],"study_design_scores_gemma":[0.000002333596,0.000005096129,0.00006356147,0.000001585784,0.000001020541,0.000004108193,0.000002926254,0.9927704,0.004742635,0.002244834,0.0001580931,0.000003435543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1726363,0.0003686575,0.8230468,0.0004454126,0.00003302357,0.0000286455,0.0000799806,0.0008244328,0.0025368],"genre_scores_gemma":[0.8729696,0.0002033334,0.1257055,0.00004385859,0.000009935487,0.00004407335,0.00003397935,0.00005125486,0.0009385132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001784298,"threshold_uncertainty_score":0.004065037,"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."}}