{"id":"W2528946637","doi":"10.1021/acsphotonics.8b00325","title":"Shaping Polaritons to Reshape Selection Rules","year":2018,"lang":"en","type":"article","venue":"ACS Photonics","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FP7 People: Marie-Curie Actions; Army Research Office; Azrieli Foundation; U.S. Department of Energy","keywords":"Polariton; Selection (genetic algorithm); Computer science; Physics; Optoelectronics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002080967,0.0002791471,0.0001883012,0.0002721655,0.0002995141,0.0006425176,0.0003013449,0.0003007909,0.001343234],"category_scores_gemma":[0.0006035897,0.0002099643,0.0001325228,0.0001735096,0.0007377509,0.0005485979,0.0006558929,0.000613393,0.0004228804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002770186,"about_ca_system_score_gemma":0.0001806043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001137767,"about_ca_topic_score_gemma":0.0002630268,"domain_scores_codex":[0.9998665,0.0000234664,0.000008434155,0.00002674688,0.00004331063,0.00003149377],"domain_scores_gemma":[0.9996933,0.0001160813,0.00007492791,0.0000557738,0.00003071829,0.00002914399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001560802,0.00008135854,0.0007299289,0.0001228912,0.00001378763,0.0002027958,0.0002853224,0.00656435,0.8967109,0.06689198,0.000499828,0.02774083],"study_design_scores_gemma":[0.00008006217,0.0003039325,0.0009034308,0.00004320295,0.00002205068,0.000321284,0.0002127903,0.07618,0.8651934,0.03303345,0.02363691,0.00006946429],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8980508,0.0009980539,0.07717461,0.0003980538,0.000205625,0.00006814492,0.00005992184,0.0004985044,0.02254621],"genre_scores_gemma":[0.9859623,0.000513375,0.01139268,0.0001142312,0.00002783703,0.00004545309,0.00002540411,0.00005789797,0.001860723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001343234,"threshold_uncertainty_score":0.004493535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0271416912528194,"score_gpt":0.2721565640473875,"score_spread":0.2450148727945681,"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."}}