{"id":"W4362398951","doi":"10.1158/1078-0432.22460183","title":"Supporting Information from Multimodal Image-Guided Surgical and Photodynamic Interventions in Head and Neck Cancer: From Primary Tumor to Metastatic Drainage","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Medicine; Lymph node; Head and neck cancer; Head and neck; Cytokeratin; Primary tumor; Radiology; Nuclear medicine; Radiation therapy; Cancer; Pathology; Metastasis; Internal medicine; Surgery; Immunohistochemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001037617,0.001706948,0.001637141,0.001543794,0.0008557666,0.001800922,0.002184017,0.002314114,0.7999292],"category_scores_gemma":[0.004929766,0.0008403771,0.001109658,0.003186777,0.0002283987,0.001987555,0.001062285,0.001080288,0.1881249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009321616,"about_ca_system_score_gemma":0.002060231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002665839,"about_ca_topic_score_gemma":0.004313515,"domain_scores_codex":[0.999482,0.00004134391,0.00005725349,0.00009308539,0.0002547432,0.00007159253],"domain_scores_gemma":[0.996813,0.001358695,0.0002420333,0.0001694598,0.0009389188,0.0004779489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001012072,0.0001969508,0.0004258576,0.006274192,0.00005009891,0.0003332885,0.00003540997,0.0009319165,0.00665777,0.002219596,0.937201,0.04466175],"study_design_scores_gemma":[0.001200118,0.0005672342,0.003598054,0.001392921,0.00008839295,0.001307001,0.0001177134,0.004617605,0.01441319,0.007281339,0.9653064,0.000110144],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002915287,0.003763263,0.01076075,0.003089764,0.007712637,0.0009424659,0.9187705,0.002169562,0.04987585],"genre_scores_gemma":[0.02514969,0.01003131,0.0243005,0.001531861,0.003254547,0.002004374,0.8561091,0.00148791,0.07613077],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7999292,"threshold_uncertainty_score":0.2853767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02421876394280315,"score_gpt":0.308933112233456,"score_spread":0.2847143482906529,"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."}}