{"id":"W3036851056","doi":"","title":"Cancer Therapy 2018: Natural fluorescence for cancer diagnosis - Aurelija Vaitkuviene - Vilnius University","year":2018,"lang":"fi","type":"article","venue":"","topic":"Photodynamic Therapy Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Colorectal cancer; Medicine; Rectum; Internal medicine; Cancer; Pathology; Oncology; Gastroenterology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004270161,0.0005902807,0.0008491728,0.0002630062,0.0008428774,0.00005450331,0.0007336342,0.0002675925,0.006961266],"category_scores_gemma":[0.0001897804,0.0004753244,0.0003557731,0.0007848977,0.001358546,0.0003083644,0.0002630704,0.0005442724,0.0001019621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001363635,"about_ca_system_score_gemma":0.001002518,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01878822,"about_ca_topic_score_gemma":0.01222854,"domain_scores_codex":[0.9962726,0.0001663053,0.0003775909,0.0009999661,0.0007310128,0.001452547],"domain_scores_gemma":[0.997016,0.00057381,0.000189845,0.0007019407,0.001081495,0.0004368813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01093901,0.001042351,0.04340081,0.0004514011,0.004490085,0.00008301668,0.004760928,0.000003419485,0.07712501,0.0005863109,0.3718997,0.485218],"study_design_scores_gemma":[0.009652015,0.002420876,0.06446949,0.000921493,0.0003623237,0.000005254899,0.00112354,0.003424514,0.07181195,0.00009629452,0.8448026,0.0009097039],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8618248,0.09508722,0.0001736842,0.02418008,0.007109505,0.005288074,0.001750953,0.0003331919,0.004252482],"genre_scores_gemma":[0.6760749,0.2384589,0.0004705778,0.001853338,0.002386265,0.000483527,0.00002600893,0.00008598538,0.08016042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4843082,"threshold_uncertainty_score":0.9997699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03092868353433392,"score_gpt":0.3413627427863825,"score_spread":0.3104340592520486,"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."}}