{"id":"W6963712486","doi":"10.24433/co.6492552.v1","title":"PGDIPS: Physics-guided deep image prior enables general stain deconvolution","year":2023,"lang":"en","type":"other","venue":"Code Ocean","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Deconvolution; Stain; Image (mathematics); Upload; Image restoration; Image processing; Code (set theory)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004563977,0.0008207975,0.0007987914,0.0004966815,0.000157526,0.0001685465,0.000718502,0.0005021021,0.00197733],"category_scores_gemma":[0.0002318123,0.0008763153,0.000306109,0.0006579038,0.0002895876,0.000205422,0.0002702411,0.0004363999,0.02940331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007940331,"about_ca_system_score_gemma":0.0002921786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006127639,"about_ca_topic_score_gemma":0.002572676,"domain_scores_codex":[0.9964668,0.0002282272,0.0005217833,0.001096137,0.0006351426,0.00105188],"domain_scores_gemma":[0.9976456,0.00006733979,0.0006019645,0.001265919,0.0001604068,0.0002588309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001956657,0.00008721989,0.0002677498,0.0001886659,0.0002470104,0.00008730117,0.000145886,0.00006378649,0.001585361,0.001516041,0.9941359,0.001655584],"study_design_scores_gemma":[0.001764692,0.00005597591,0.0004058252,0.0004761689,0.0003178559,0.00001429575,0.0001266875,0.006231267,0.001362946,0.002443317,0.9851402,0.001660781],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005226388,0.004315339,0.008202609,0.0001764384,0.003129741,0.003977455,0.007439641,0.02289047,0.9446419],"genre_scores_gemma":[0.0006842326,0.000236796,0.006841241,0.0001165728,0.003659207,0.00004606559,0.001141428,0.01202489,0.9752496],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03060764,"threshold_uncertainty_score":0.9993687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02732790529511573,"score_gpt":0.2926146158153251,"score_spread":0.2652867105202094,"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."}}