{"id":"W4393143092","doi":"10.1101/2024.03.20.585977","title":"PHARAOH: A collaborative crowdsourcing platform for PHenotyping And Regional Analysis Of Histology","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"AI in cancer detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Université de Sherbrooke; McMaster University; Université Laval; Princess Margaret Cancer Centre","funders":"Princess Margaret Cancer Foundation","keywords":"Crowdsourcing; Histology; Computer science; Data science; World Wide Web; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005571056,0.001570566,0.001213776,0.0033049,0.001431656,0.002427251,0.003463076,0.002297668,0.01453115],"category_scores_gemma":[0.01017783,0.001085208,0.002127464,0.001643244,0.001522746,0.001553802,0.008532613,0.002255227,0.01013876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001132457,"about_ca_system_score_gemma":0.002861342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009522104,"about_ca_topic_score_gemma":0.01338738,"domain_scores_codex":[0.9963735,0.0008405493,0.0001342877,0.001200222,0.001185147,0.0002662228],"domain_scores_gemma":[0.9921231,0.002276431,0.000364071,0.00337324,0.001010551,0.000852652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002051583,0.0006414145,0.01197912,0.001600355,0.0008331165,0.001861955,0.002193283,0.1175218,0.1285272,0.02678395,0.3059623,0.400044],"study_design_scores_gemma":[0.000453972,0.0002076363,0.00733028,0.0002426125,0.0001151337,0.0005314888,0.0006180156,0.6234474,0.05049343,0.09998394,0.2162374,0.0003386766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01743533,0.0004471905,0.8657643,0.001190579,0.0004939525,0.001040198,0.01652362,0.084666,0.01243877],"genre_scores_gemma":[0.1817637,0.000446911,0.7618377,0.001130182,0.0002697872,0.002291396,0.0266883,0.01189612,0.01367604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01453115,"threshold_uncertainty_score":0.04861158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0211697673662587,"score_gpt":0.2470926052061279,"score_spread":0.2259228378398692,"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."}}