{"id":"W2968456576","doi":"10.4103/jpi.jpi_31_19","title":"2020 Vision of Digital Pathology in Action","year":2019,"lang":"en","type":"editorial","venue":"Journal of Pathology Informatics","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Digital pathology; Computer science; Action (physics); Pathology; Artificial intelligence; 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":[0.01477844,0.003396135,0.003322546,0.008385467,0.004308931,0.01552546,0.004908858,0.03118723,0.02060095],"category_scores_gemma":[0.04885023,0.001729622,0.003304174,0.002053696,0.005922694,0.006975878,0.003506946,0.02780853,0.01171441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005559077,"about_ca_system_score_gemma":0.005432245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003416233,"about_ca_topic_score_gemma":0.01004812,"domain_scores_codex":[0.9892351,0.002048736,0.00114457,0.0008908057,0.006115031,0.000565646],"domain_scores_gemma":[0.9406599,0.02781519,0.002199144,0.001512952,0.0202135,0.007599315],"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":[0.00001930227,0.000007338582,0.00001674225,0.0001494755,0.00001430902,0.00008934682,0.00001438187,0.00001858804,0.00002738589,0.0008738701,0.9940857,0.004683647],"study_design_scores_gemma":[0.00004756676,0.00002537818,0.0001723509,0.0005641896,0.00004822937,0.0002789464,0.00005822802,0.0002096287,0.00008412082,0.002807407,0.9956802,0.0000236857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001697808,0.004808466,0.0001884204,0.03774753,0.9554487,0.000009445887,0.00003860265,0.00004790946,0.001693992],"genre_scores_gemma":[0.0003482834,0.003523257,0.0001650883,0.01552372,0.9734818,0.00001325077,0.00002587457,0.00003035184,0.00688819],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03118723,"threshold_uncertainty_score":0.07815683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00748709512679094,"score_gpt":0.3229791782215725,"score_spread":0.3154920830947816,"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."}}