{"id":"W2109988148","doi":"10.1117/1.3281670","title":"Angular domain fluorescence imaging for small animal research","year":2010,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Lawson Health Research Institute","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fluorescence; Pinhole (optics); Materials science; Optics; Fluorophore; Lens (geology); Fluorescence-lifetime imaging microscopy; Preclinical imaging; Collimated light; Physics; In vivo; Laser; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002900274,0.0001254113,0.0003700276,0.0003866745,0.0001069503,0.00006606322,0.0002759713,0.0001463297,0.00004887398],"category_scores_gemma":[0.001990494,0.0000908593,0.0001931349,0.0003290018,0.0007949937,0.00008369895,0.00006701404,0.001534047,0.000005670022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006396225,"about_ca_system_score_gemma":0.0003385687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003548637,"about_ca_topic_score_gemma":5.863606e-7,"domain_scores_codex":[0.9979142,0.00004566522,0.0005596019,0.0001711661,0.0008106853,0.0004986611],"domain_scores_gemma":[0.9977905,0.0003526213,0.0001373032,0.0002413236,0.0008924257,0.0005858322],"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":[0.0003927291,0.0005036453,0.001657024,0.00009199116,0.00004057549,0.0003845015,0.0001006752,1.76794e-8,0.9719669,0.005391141,0.009007127,0.0104637],"study_design_scores_gemma":[0.01329373,0.02458086,0.0122998,0.002234799,0.0006931479,0.01243763,0.001660406,0.02104507,0.5350065,0.07248984,0.3030853,0.001172908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8852413,0.0003114746,0.07566851,0.03571692,0.000792594,0.0004565413,0.00001067687,0.00008343051,0.001718523],"genre_scores_gemma":[0.4019445,0.00005669398,0.5963407,0.0002697667,0.001265972,0.000004137603,0.000003215535,0.00002555545,0.00008955119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5206721,"threshold_uncertainty_score":0.6664755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03461323982424692,"score_gpt":0.3988272390938954,"score_spread":0.3642139992696485,"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."}}