{"id":"W2062040587","doi":"10.1364/ol.32.000503","title":"Imaging subcellular scattering contrast by using combined optical coherence and multiphoton microscopy","year":2007,"lang":"en","type":"article","venue":"Optics Letters","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Center for Research Resources; National Cancer Institute","keywords":"Scattering; Optics; Optical coherence tomography; Microscopy; Light scattering; Materials science; Coherence (philosophical gambling strategy); Microscope; 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":[0.0004104772,0.000532316,0.0003824029,0.001069831,0.000370702,0.0006277678,0.0006041494,0.0005262257,0.0009835801],"category_scores_gemma":[0.0006237318,0.0004684102,0.0003126283,0.0007894954,0.0004274385,0.0008527861,0.0009178734,0.0007418741,0.000269313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008405517,"about_ca_system_score_gemma":0.0005947361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001909044,"about_ca_topic_score_gemma":0.00466852,"domain_scores_codex":[0.9994889,0.00006273368,0.0000217857,0.00008457591,0.0002615889,0.00008043466],"domain_scores_gemma":[0.9995607,0.0001536955,0.00008133719,0.00006494018,0.0001055742,0.00003369628],"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":[0.00003460444,0.00001315672,0.00021493,0.00003418547,0.000009838976,0.00003798188,0.00001724701,0.0004663585,0.9959577,0.0005530551,0.00005723651,0.002603657],"study_design_scores_gemma":[0.00007001135,0.0002243448,0.006972614,0.0000150152,0.00003222299,0.0008996269,0.00005402633,0.03574187,0.9516216,0.001195264,0.003132003,0.00004140822],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7596701,0.001643808,0.2324809,0.0003108042,0.00004010769,0.0001309029,0.0003296223,0.0005288474,0.004864877],"genre_scores_gemma":[0.7371501,0.001355161,0.2578582,0.0001809373,0.00005168554,0.0002207601,0.0005597648,0.0001709989,0.002452337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001909044,"threshold_uncertainty_score":0.006098628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005753506284714514,"score_gpt":0.2619756910167001,"score_spread":0.2562221847319856,"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."}}