{"id":"W4287870229","doi":"","title":"Plasmonic imaging - from parallel acquisition to actual structural imaging, how to overcome the propagation effect limit?","year":2020,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Plasmon; Limit (mathematics); Computer science; Medical imaging; Optical imaging; Optics; Physics; Artificial intelligence; Mathematics","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":[0.002364541,0.0008963707,0.001393888,0.0003462807,0.0005224038,0.002275991,0.001618424,0.00165709,0.006862569],"category_scores_gemma":[0.007044187,0.0008392411,0.0003737521,0.0003891291,0.002260943,0.007681401,0.002767397,0.003218856,0.002318697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007898633,"about_ca_system_score_gemma":0.0007983594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006411111,"about_ca_topic_score_gemma":0.0007565918,"domain_scores_codex":[0.9991581,0.0002042436,0.00003947789,0.0002099345,0.0002848802,0.0001033041],"domain_scores_gemma":[0.9962935,0.001813668,0.0002368101,0.0008277331,0.0005916033,0.0002366735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003736819,0.0002496704,0.0008421227,0.002019069,0.0001160671,0.0002271344,0.0005685107,0.01987147,0.3284284,0.1465178,0.01272814,0.488058],"study_design_scores_gemma":[0.0001143788,0.0004057183,0.001186876,0.0005523689,0.00009472827,0.001346331,0.0003762915,0.3473498,0.2581519,0.3245476,0.06570227,0.0001716811],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01937137,0.007991841,0.9506713,0.00931489,0.0005633552,0.0000745816,0.00006199458,0.002059352,0.009891352],"genre_scores_gemma":[0.2398663,0.02156243,0.7179768,0.002569277,0.0009629081,0.0002951024,0.0001874801,0.001524215,0.01505549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006862569,"threshold_uncertainty_score":0.02295762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00700574200589582,"score_gpt":0.2044512212380185,"score_spread":0.1974454792321227,"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."}}