{"id":"W2047931917","doi":"10.1364/oe.19.017143","title":"In vivo near-realtime volumetric optical-resolution photoacoustic microscopy using a high-repetition-rate nanosecond fiber-laser","year":2011,"lang":"en","type":"article","venue":"Optics Express","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Optics; Materials science; Nanosecond; Laser; Frame rate; Fiber laser; Microscopy; Resolution (logic); Image resolution; Optical fiber; Physics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002554584,0.000333588,0.0003565652,0.0002707191,0.0001379904,0.0001146027,0.000262481,0.0001908935,0.001329365],"category_scores_gemma":[0.000104472,0.0003809326,0.00007747181,0.0005322039,0.0001368176,0.0003963684,0.0000650771,0.0003611872,0.0001245444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002540967,"about_ca_system_score_gemma":0.00007197826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005197176,"about_ca_topic_score_gemma":0.00001463009,"domain_scores_codex":[0.9981448,0.00004124973,0.0004761356,0.0003910917,0.0002042265,0.000742494],"domain_scores_gemma":[0.9990744,0.0001574153,0.00007310048,0.0004309778,0.00008134698,0.0001827526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005477129,0.0001926223,0.00009992585,0.0002429668,0.00006589997,0.0001452793,0.0008418013,0.1612,0.8356234,0.0001144908,0.001217433,0.0002014034],"study_design_scores_gemma":[0.0008975239,0.00004080421,0.000311048,0.0001741529,0.00008600273,0.00003858919,0.00008289706,0.6780139,0.3189982,0.0002130991,0.0006193601,0.0005243584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9429898,0.0002298548,0.04780387,0.000006947248,0.0008968199,0.000365989,0.0001348196,0.0002232797,0.007348632],"genre_scores_gemma":[0.9146423,0.00006015876,0.08418014,0.00007529772,0.0001061531,0.00004305678,0.00001407321,0.00009840722,0.0007803667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5168139,"threshold_uncertainty_score":0.9998643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392820380521066,"score_gpt":0.2222095267399235,"score_spread":0.2082813229347129,"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."}}