{"id":"W4205358557","doi":"10.1364/etop.2021.th4b.2","title":"Virtual training on Biomedical Nanophotonics","year":2021,"lang":"en","type":"article","venue":"","topic":"Nanotechnology research and applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Nanophotonics; Computer science; Multimedia; Nanotechnology; Materials science","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":[0.00003643056,0.0000446043,0.00005813537,0.00004390518,0.0000331744,0.000009496379,0.00007566947,0.000115259,0.0003685654],"category_scores_gemma":[0.00003410181,0.00004116054,0.00002015763,0.0002364321,0.00003916834,0.0000142617,0.00001708226,0.0002291133,0.0002817858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001661595,"about_ca_system_score_gemma":0.00003603398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.067944e-7,"about_ca_topic_score_gemma":0.000002603618,"domain_scores_codex":[0.9995887,0.000003774816,0.00006299832,0.00008691769,0.00009021024,0.0001674572],"domain_scores_gemma":[0.9997354,0.00003797682,0.000002168692,0.000146699,0.00001201456,0.00006574949],"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":[0.000002019988,0.00006078665,0.000005722849,0.000006347426,0.0000360457,0.00005677254,0.0001018659,0.0005104191,0.8160939,0.09309632,0.01517637,0.07485344],"study_design_scores_gemma":[0.0003718863,0.00005955989,0.00004744426,0.00001347838,0.000003288277,0.0000346107,0.0005387932,0.02869797,0.523645,0.001092956,0.4453286,0.0001664583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8808379,0.0002147697,0.05092107,0.004961423,0.0002544511,0.0001318933,0.00002179821,0.001607163,0.06104957],"genre_scores_gemma":[0.9942747,0.00008069834,0.004196619,0.0001401939,0.00002139793,0.00002667135,0.00001459768,0.00001143186,0.001233696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4301522,"threshold_uncertainty_score":0.4035533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01932740366491415,"score_gpt":0.2557468861042445,"score_spread":0.2364194824393303,"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."}}