{"id":"W2435551459","doi":"","title":"Color deconvolution. Optimizing handling of 3D unitary optical density vectors with polar coordinates.","year":2012,"lang":"en","type":"article","venue":"PubMed","topic":"Biological Stains and Phytochemicals","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Centroid; Mathematics; Pixel; Stain; RGB color model; Brightness; RGB color space; Geometry; Physics; Optics; Artificial intelligence; Color image; Image (mathematics); Image processing; Computer science; Staining","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003410011,0.00011455,0.0003046593,0.00003539845,0.00006025811,0.000005260109,0.00005533141,0.0001290199,0.00003826039],"category_scores_gemma":[0.0002385027,0.00007510139,0.00005262587,0.0001655213,0.0001681422,0.00006384153,0.00004717659,0.0001829025,0.000002484637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007075438,"about_ca_system_score_gemma":0.00002222945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003781543,"about_ca_topic_score_gemma":0.000002384663,"domain_scores_codex":[0.9990558,0.0000278227,0.0001861904,0.0001435338,0.0001303467,0.0004563053],"domain_scores_gemma":[0.9992473,0.0001340204,0.00006076696,0.0001387311,0.0001058862,0.0003132977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001210819,0.0007165011,0.9704463,0.0001718544,0.0002767295,0.00002153306,0.0001145844,0.00002694144,0.007551141,0.001527388,0.0004550807,0.01748112],"study_design_scores_gemma":[0.001127109,0.0001631302,0.9607711,0.0000346673,0.0001556686,0.00005539438,0.00007072469,0.0001000955,0.0355197,0.00002687482,0.001811553,0.0001639769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995226,0.0009848757,0.0006393217,0.0002788322,0.00006724093,0.0004782463,0.000005505941,0.00004100058,0.002279005],"genre_scores_gemma":[0.9942448,0.00001842021,0.005136723,0.0002217756,0.0001436661,0.0001057363,0.00001955274,0.00001030749,0.00009898831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02796857,"threshold_uncertainty_score":0.3062546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02466931433063386,"score_gpt":0.2261398271416979,"score_spread":0.2014705128110641,"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."}}