{"id":"W2372776145","doi":"","title":"APPLICATION OF NORMAL-AND-TUMOR-TISSUE-CONTRAST SECTION IN TEACHING OF PATHOLOGICAL EXPERIMENT","year":2011,"lang":"en","type":"article","venue":"","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Staining; Pathology; Immunohistochemistry; Reticular connective tissue; Pathological; Frozen section procedure; Biology; Chemistry; Anatomy; Medicine","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":[0.003923217,0.0007061384,0.0003445674,0.0007165457,0.000272083,0.0002569834,0.0007753026,0.0007877909,0.00486705],"category_scores_gemma":[0.004987634,0.0002872071,0.0003432848,0.0002547209,0.0004466797,0.0008398219,0.0007253854,0.0005571003,0.0005897116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000260242,"about_ca_system_score_gemma":0.0004773827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002796761,"about_ca_topic_score_gemma":0.0006040285,"domain_scores_codex":[0.9992734,0.0003032033,0.0000504388,0.000127609,0.0001764438,0.00006898605],"domain_scores_gemma":[0.9966047,0.001723455,0.0002166169,0.0005781256,0.0005318501,0.000345233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006933319,0.003553116,0.02898603,0.001342079,0.00009761512,0.002875359,0.0005077701,0.004168874,0.6539286,0.001574319,0.00184759,0.2941854],"study_design_scores_gemma":[0.001038436,0.04026521,0.09785274,0.0003070468,0.0007923599,0.02270569,0.0006852482,0.04626988,0.7657051,0.00299634,0.02117278,0.0002091769],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8086781,0.002416939,0.175301,0.000553189,0.0003422217,0.001378012,0.0001613811,0.001277101,0.009892103],"genre_scores_gemma":[0.8228852,0.001563034,0.1720431,0.0002095389,0.000178273,0.0003975563,0.0001541339,0.0001239068,0.002445224],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00486705,"threshold_uncertainty_score":0.02074826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388989070774751,"score_gpt":0.2899445994558117,"score_spread":0.2760547087480642,"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."}}