{"id":"W3172002016","doi":"10.1038/s41467-021-23951-x","title":"Super-resolution label-free volumetric vibrational imaging","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Government of Canada; National Institutes of Health; Amgen; Natural Sciences and Engineering Research Council of Canada; California Institute of Technology","keywords":"Photobleaching; Resolution (logic); Superresolution; Computer science; Materials science; Fluorescence; Artificial intelligence; Optics; Physics; Image (mathematics)","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":[0.0002048598,0.000326979,0.000204487,0.0002087443,0.00008458901,0.0002675448,0.000459356,0.0003167351,0.0005688418],"category_scores_gemma":[0.0003519263,0.0002236011,0.0002927456,0.0001759374,0.0002872098,0.000410244,0.0003947361,0.0004871413,0.000263284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003191534,"about_ca_system_score_gemma":0.0003272316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009677648,"about_ca_topic_score_gemma":0.001716373,"domain_scores_codex":[0.9999065,0.00001226717,0.000002678648,0.00003001542,0.00003564245,0.00001290441],"domain_scores_gemma":[0.9999039,0.00003512172,0.00002134924,0.0000155265,0.0000157324,0.000008363177],"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":[0.00006600787,0.00002789312,0.0005415018,0.00007709886,0.00001763507,0.00005739553,0.00004900879,0.1580674,0.7866241,0.00513816,0.0005394997,0.04879428],"study_design_scores_gemma":[0.000003109119,0.00003660928,0.0005413616,0.000004032172,0.000005930828,0.00005149484,0.000006328609,0.8724737,0.1240066,0.001448411,0.001409783,0.00001275326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07457058,0.000210473,0.9227326,0.00008918916,0.00001555573,0.0000261923,0.0001412729,0.0007288872,0.001485313],"genre_scores_gemma":[0.7164571,0.0004912929,0.2790818,0.0000683169,0.00002661619,0.00008286243,0.0004937447,0.0001514956,0.003146682],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0009677648,"threshold_uncertainty_score":0.00231564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01539756480584745,"score_gpt":0.3476682695773572,"score_spread":0.3322707047715098,"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."}}