{"id":"W4327565098","doi":"10.1117/12.2650688","title":"Prostate needle biopsy metabolic analysis and virtual H&E microscopy using photoacoustic remote sensing and autofluorescence microscopy (Conference Presentation)","year":2023,"lang":"en","type":"article","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Autofluorescence; Microscopy; Materials science; Optics; Absorption (acoustics); Biomedical engineering; Medicine; Physics; Fluorescence","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":[0.0005056004,0.0004222596,0.0002382092,0.0003642545,0.0001651675,0.000561539,0.0004980186,0.0004731644,0.001688593],"category_scores_gemma":[0.0008465875,0.0002584981,0.0004532998,0.000142923,0.0003416727,0.0002857955,0.0006959039,0.0003783541,0.0002954899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003406012,"about_ca_system_score_gemma":0.0002650187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009789001,"about_ca_topic_score_gemma":0.00202914,"domain_scores_codex":[0.9997844,0.00006009054,0.000005612666,0.00005463818,0.00007690419,0.00001838286],"domain_scores_gemma":[0.9997807,0.00009367595,0.0000349065,0.00003341396,0.00003316016,0.00002417601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003780172,0.0001459973,0.006709999,0.00009468486,0.0001045576,0.0005822025,0.0001170621,0.6217871,0.1328313,0.004326803,0.001624219,0.231298],"study_design_scores_gemma":[0.000006148257,0.00007235756,0.001440701,0.000004206047,0.000008770318,0.0002132345,0.00001253016,0.9808164,0.01565149,0.001214574,0.0005479553,0.00001171559],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1229164,0.0001657423,0.8735424,0.0003057132,0.00003680246,0.00006198431,0.00010087,0.001046206,0.001823862],"genre_scores_gemma":[0.7951517,0.0001808856,0.2011848,0.0001599143,0.00002957056,0.00006152358,0.0001678021,0.0001379434,0.002925903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001688593,"threshold_uncertainty_score":0.005648911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01820347133102728,"score_gpt":0.2741472935342624,"score_spread":0.2559438222032351,"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."}}