{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001304033,0.0001208967,0.000134243,0.0000840592,0.0001141678,0.00009765685,0.000413867,0.00003933754,0.000003403488],"category_scores_gemma":[0.0004897072,0.00008709331,0.0000258736,0.0004990079,0.0002468916,0.0001185509,0.00002767555,0.0001990068,0.00002120718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004655177,"about_ca_system_score_gemma":0.0001057057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000606662,"about_ca_topic_score_gemma":0.000004971175,"domain_scores_codex":[0.9989115,0.0000417631,0.0001845072,0.0001595247,0.0003401349,0.0003625558],"domain_scores_gemma":[0.9994252,0.0002296955,0.00002585088,0.0001999689,0.00003113078,0.0000881972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003775672,0.00006134903,0.0002743368,0.0001545176,0.00005584671,0.0001540058,0.02417144,0.6528633,0.3010086,0.001114994,0.009743934,0.01035994],"study_design_scores_gemma":[0.0002540085,0.00002206648,0.00002591662,0.00004482111,0.00001486025,0.00003957135,0.003502974,0.9900227,0.002561712,0.002779399,0.0005794609,0.0001525251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7616981,0.001294083,0.1898486,0.0005579578,0.003132843,0.0003758396,0.000008525561,0.0002900281,0.04279404],"genre_scores_gemma":[0.9375395,0.00005398393,0.06186787,0.0003391409,0.0001399356,3.708426e-7,6.318336e-7,0.00001161192,0.00004697293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3371594,"threshold_uncertainty_score":0.3551562,"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."}}