{"id":"W4284690338","doi":"10.1117/12.2635563","title":"Virtual training on biomedical nanophotonics","year":2022,"lang":"en","type":"article","venue":"","topic":"Nanotechnology research and applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Nanophotonics; Computer science; Training (meteorology); Multimedia; Nanotechnology; Physics","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":[0.0009671772,0.0006860374,0.0003246691,0.0005680329,0.0005789497,0.001046858,0.001478871,0.0009837525,0.02029683],"category_scores_gemma":[0.001630276,0.0002655225,0.0004732379,0.0002048693,0.0007634375,0.001070262,0.003984086,0.0008321219,0.003304735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003421093,"about_ca_system_score_gemma":0.0008224158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003520898,"about_ca_topic_score_gemma":0.0004365545,"domain_scores_codex":[0.9992867,0.0002316468,0.00001731826,0.0001125548,0.0001737289,0.0001781361],"domain_scores_gemma":[0.998333,0.0005380574,0.0001164152,0.0002686939,0.0001627898,0.0005810836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001703827,0.003337694,0.00699539,0.0008705687,0.00007588283,0.001072426,0.00280732,0.04718331,0.3706337,0.01727945,0.02515708,0.5228834],"study_design_scores_gemma":[0.0004587493,0.007406573,0.02140431,0.0004904429,0.0001775633,0.005373719,0.00176215,0.1979105,0.4277783,0.02318222,0.3136585,0.000396991],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.4172223,0.001478622,0.492579,0.001538335,0.0006501614,0.0006208648,0.0004156797,0.007330535,0.07816447],"genre_scores_gemma":[0.862446,0.000629987,0.1045814,0.0007311414,0.0001789135,0.0005628716,0.0003208757,0.000266677,0.03028227],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02029683,"threshold_uncertainty_score":0.0678997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785829404479845,"score_gpt":0.2454110864361929,"score_spread":0.2275527923913944,"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."}}