{"id":"W2018409236","doi":"10.1364/boe.5.003578","title":"Characterization of multiphoton microscopy in the bone marrow following intravital laser osteotomy","year":2014,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Heart, Lung, and Blood Institute; Fonds de recherche du Québec – Nature et technologies; Harvard Stem Cell Institute; National Institutes of Health","keywords":"Multiphoton fluorescence microscope; Intravital microscopy; Microscopy; Characterization (materials science); Bone marrow; Pathology; Optics; Materials science; Laser; Biomedical engineering; Medicine; Fluorescence microscope; Nanotechnology; Radiology; Microcirculation; Fluorescence","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":[0.0003018562,0.0001839238,0.000114937,0.0003018867,0.0001848455,0.0002510558,0.0002418781,0.0003690291,0.000904221],"category_scores_gemma":[0.0003194018,0.0002009396,0.0001035076,0.000157158,0.0002609414,0.0002153749,0.0002119965,0.0004449076,0.0002598721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002180572,"about_ca_system_score_gemma":0.0002355231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001234336,"about_ca_topic_score_gemma":0.001621176,"domain_scores_codex":[0.9999092,0.00001249809,0.000003412575,0.00002179453,0.00003190182,0.00002115696],"domain_scores_gemma":[0.9997243,0.00010082,0.00006803679,0.00002462546,0.00005332167,0.00002885995],"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":[0.0000154786,0.00000665662,0.0001239661,0.000009985825,9.460373e-7,0.00003501,0.00002487863,0.00006092055,0.999112,0.0000590909,0.000008602041,0.0005424678],"study_design_scores_gemma":[0.000009228231,0.0001351979,0.006295271,0.000006718503,0.000009428243,0.000231641,0.00006872376,0.002424792,0.9898037,0.00007932433,0.00093041,0.000005658821],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683801,0.001214574,0.02821824,0.00008977608,0.0000148933,0.00006098393,0.0001334907,0.000130809,0.001757257],"genre_scores_gemma":[0.9760321,0.0006422194,0.0207985,0.00006887246,0.000007643254,0.00009053502,0.000132306,0.00005409755,0.002173672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001234336,"threshold_uncertainty_score":0.003024936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004681235531768148,"score_gpt":0.2124230437134499,"score_spread":0.2077418081816818,"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."}}