{"id":"W2022623664","doi":"10.1364/boe.5.000407","title":"Phase-gradient contrast in thick tissue with a scanning microscope","year":2014,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health","keywords":"Microscope; Optics; Microscopy; Materials science; Optical microscope; Interference microscopy; Physics; Scanning electron microscope","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":[0.0003497037,0.0006617028,0.0002043052,0.0006549403,0.0001637948,0.0004646117,0.0004826528,0.0004733746,0.001762234],"category_scores_gemma":[0.000481742,0.0004702951,0.0001729776,0.000302172,0.0004335001,0.0006124597,0.0007871111,0.0005052735,0.0006559336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002809102,"about_ca_system_score_gemma":0.0002918588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003070602,"about_ca_topic_score_gemma":0.0005030365,"domain_scores_codex":[0.9998329,0.00003225522,0.00001064478,0.00003969405,0.00007173099,0.0000127811],"domain_scores_gemma":[0.9997143,0.0001199174,0.00006166683,0.00004320552,0.00003063693,0.00003033468],"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":[0.00003357685,0.000007964949,0.00006995936,0.00004020567,0.000003238194,0.00009251878,0.0000190662,0.0004099391,0.9943943,0.0009721486,0.00007991629,0.003877235],"study_design_scores_gemma":[0.00006028235,0.000268685,0.0025839,0.0000425316,0.00002323183,0.002341796,0.00004575774,0.06416212,0.9182379,0.004105157,0.008082296,0.0000462814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4406973,0.002003784,0.5478411,0.0003863033,0.0001183168,0.0001446916,0.0002869937,0.001856688,0.006664948],"genre_scores_gemma":[0.3779934,0.001312408,0.6156171,0.0001726778,0.00006962303,0.000165144,0.0001985637,0.0001589248,0.004312167],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001762234,"threshold_uncertainty_score":0.005895257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00938685362836635,"score_gpt":0.3202968460941455,"score_spread":0.3109099924657792,"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."}}