{"id":"W4281249692","doi":"10.1002/tbio.202100009","title":"Optical spectroscopy and imaging in surgical management of cancer patients","year":2022,"lang":"en","type":"article","venue":"Translational Biophotonics","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Canadian Cancer Society Research Institute; Terry Fox Research Institute","keywords":"Modalities; Medicine; Medical physics; Biophotonics; Cancer; Radiology; Pathology; Computer science; Materials science; Photonics; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004501276,0.0001182022,0.000130421,0.0006826496,0.0004087174,0.0006022223,0.0001562397,0.0004519372,0.001960653],"category_scores_gemma":[0.002618884,0.00006853689,0.0001203765,0.0005131272,0.0002694792,0.0003984466,0.00036201,0.000537697,0.0002510465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004493634,"about_ca_system_score_gemma":0.0006052122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001464787,"about_ca_topic_score_gemma":0.001898877,"domain_scores_codex":[0.9996977,0.0001506752,0.00002314575,0.00002489813,0.00007187364,0.0000318428],"domain_scores_gemma":[0.9993843,0.0002280905,0.0002014459,0.000009009188,0.000101601,0.0000754728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008843872,0.0004229622,0.4524951,0.0009706487,0.00007850449,0.003181108,0.001605119,0.001609164,0.007083483,0.004947573,0.01780606,0.508916],"study_design_scores_gemma":[0.00005382497,0.002130207,0.8337498,0.002736949,0.0001690667,0.02589012,0.009685343,0.005765057,0.007768156,0.01176275,0.1001489,0.0001399571],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7191651,0.1654605,0.005764348,0.03800299,0.000867134,0.00009546688,0.0003048447,0.0001024416,0.0702372],"genre_scores_gemma":[0.9601931,0.03096899,0.004339277,0.001672394,0.0004331667,0.0000374927,0.00007717279,0.0000110473,0.002267299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001960653,"threshold_uncertainty_score":0.006559074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00752954342638828,"score_gpt":0.3056125476457219,"score_spread":0.2980830042193336,"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."}}