{"id":"W3017164893","doi":"10.1364/translational.2020.jth2a.13","title":"Real Time & 3D Photoacoustic Remote Sensing","year":2020,"lang":"en","type":"article","venue":"Biophotonics Congress: Biomedical Optics 2020 (Translational, Microscopy, OCT, OTS, BRAIN)","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Photoacoustic imaging in biomedicine; Computer science; Frame rate; Frame (networking); Operator (biology); Real-time computing; Computer vision; Optics; Telecommunications; 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":[0.0006239678,0.0004535987,0.0002518496,0.0003400615,0.0002561378,0.0008972381,0.0009062427,0.0008153442,0.01187692],"category_scores_gemma":[0.001268755,0.0003384254,0.0002567882,0.000191023,0.0006509642,0.0008596121,0.0008623587,0.0008164389,0.004925305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002198368,"about_ca_system_score_gemma":0.0003566791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003463989,"about_ca_topic_score_gemma":0.0005306989,"domain_scores_codex":[0.999379,0.00007290806,0.00002274354,0.0001029171,0.0003915197,0.00003092753],"domain_scores_gemma":[0.9994445,0.0002354095,0.00007359271,0.0001031745,0.0001024213,0.00004072494],"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":[0.0001156841,0.00003815123,0.0001790422,0.0001489042,0.000007200544,0.0002499668,0.0001582643,0.001978809,0.8795189,0.004185247,0.004513188,0.1089066],"study_design_scores_gemma":[0.00004533091,0.0004142311,0.00148358,0.00004202019,0.00001683455,0.002817755,0.0001188693,0.04252195,0.8736072,0.003060298,0.07573976,0.0001322298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03891684,0.001365267,0.9344832,0.0008282812,0.000463704,0.0001761484,0.0005006397,0.005553315,0.01771262],"genre_scores_gemma":[0.3039822,0.001538793,0.6582189,0.0007487063,0.0002739988,0.000366235,0.0003702423,0.000450201,0.03405065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01187692,"threshold_uncertainty_score":0.03973222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163312268472825,"score_gpt":0.246438152502531,"score_spread":0.2348050298178027,"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."}}