{"id":"W1983098943","doi":"10.1364/ntm.2015.nw2c.6","title":"Motorized Photoacoustic Remote Sensing Microscopy","year":2015,"lang":"en","type":"article","venue":"Optics in the Life Sciences","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Imaging phantom; Reflection (computer programming); Optics; Photoacoustic imaging in biomedicine; Microscopy; Materials science; Absorption (acoustics); Optical imaging; Optical microscope; Computer science; Biomedical engineering; Engineering; 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":[0.0003221385,0.0005953058,0.0003752405,0.0002330401,0.0002273536,0.0004424049,0.001163555,0.0005722833,0.00546982],"category_scores_gemma":[0.0003838269,0.0003268294,0.0001601474,0.000132952,0.0003418618,0.0006609761,0.0006787789,0.00065012,0.001124685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002984346,"about_ca_system_score_gemma":0.0004905031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000438464,"about_ca_topic_score_gemma":0.0007666934,"domain_scores_codex":[0.9995301,0.00004957015,0.00001841135,0.0001466071,0.0002085553,0.00004674527],"domain_scores_gemma":[0.9996332,0.00008907274,0.00008038192,0.00007780132,0.00007907311,0.00004040346],"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":[0.00009769748,0.00002106641,0.00008566181,0.00005423426,0.000004580878,0.00004110134,0.00002217147,0.0005104971,0.982393,0.0006354451,0.0006901412,0.01544439],"study_design_scores_gemma":[0.00008245953,0.0006574012,0.002336156,0.00001175535,0.00001389823,0.0008586864,0.00002565483,0.03706376,0.9337388,0.0005925086,0.02452887,0.00009008736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3145134,0.001166069,0.6625254,0.0005912686,0.0003068076,0.0004767398,0.0005584689,0.006790284,0.01307163],"genre_scores_gemma":[0.6264315,0.0004985564,0.3560417,0.0001980559,0.00008932591,0.0004547001,0.0002893701,0.0001482856,0.01584858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00546982,"threshold_uncertainty_score":0.01829839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03504208544280977,"score_gpt":0.2785974114211151,"score_spread":0.2435553259783053,"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."}}