{"id":"W4386469348","doi":"10.32920/24092118.v1","title":"In vivo minimally invasive interstitial multi-functional microendoscopy","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Institutes of Health","keywords":"Biomedical engineering; In vivo; Image resolution; Preclinical imaging; Medicine; Computer science; Radiology; Biology; Artificial intelligence","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":[0.0002637184,0.0003657805,0.0001887595,0.0002000735,0.0001403486,0.0002667969,0.0003301757,0.0005854102,0.002006869],"category_scores_gemma":[0.0001818145,0.0001903943,0.0001854159,0.00007951362,0.0002160845,0.0002967901,0.000369888,0.0004656641,0.0004737324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001434448,"about_ca_system_score_gemma":0.0001354017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002576635,"about_ca_topic_score_gemma":0.000312123,"domain_scores_codex":[0.9998133,0.00002521297,0.000008001598,0.00004987986,0.00007638947,0.0000273187],"domain_scores_gemma":[0.9998989,0.00002604121,0.00001924929,0.00002164277,0.0000153463,0.00001888181],"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":[0.00002807646,0.00001430448,0.00005070287,0.00002334852,0.000001783703,0.0000544322,0.000008177802,0.00009285732,0.9952595,0.0002420609,0.0001557037,0.004069066],"study_design_scores_gemma":[0.0000175073,0.0002090851,0.002046181,0.000008958224,0.00000999711,0.001089151,0.0000161383,0.004183101,0.9796896,0.0001975471,0.01252018,0.00001247548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4947909,0.006219315,0.4788927,0.0005386731,0.0003829713,0.0003228817,0.0007682063,0.002074805,0.01600966],"genre_scores_gemma":[0.7534492,0.002011174,0.2242713,0.0003283408,0.0001173726,0.000256585,0.0006911602,0.000216192,0.01865868],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002006869,"threshold_uncertainty_score":0.006713629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02772362584853021,"score_gpt":0.2476327780984824,"score_spread":0.2199091522499521,"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."}}