{"id":"W4360840093","doi":"10.5858/arpa.2022-0349-ed","title":"Knowledge In Knowledge Out: A Next-Generation Platform Intersecting Social Media With Digital Pathology","year":2023,"lang":"en","type":"editorial","venue":"Archives of Pathology & Laboratory Medicine","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Digital pathology; Computer science; Pathology; Medicine; Multimedia; Knowledge management; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01186633,0.0006876411,0.0004766994,0.004118688,0.00241581,0.009773118,0.001899454,0.003321214,0.01801501],"category_scores_gemma":[0.01593264,0.0003099597,0.001064869,0.002217577,0.002038723,0.01937852,0.01820683,0.003351123,0.004478409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001681993,"about_ca_system_score_gemma":0.00546182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00152456,"about_ca_topic_score_gemma":0.003318188,"domain_scores_codex":[0.9955996,0.002382975,0.0002463634,0.0003118727,0.001034131,0.0004249635],"domain_scores_gemma":[0.9836689,0.009920353,0.0009103433,0.001041415,0.00172627,0.002732844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001945738,0.0002409593,0.002782014,0.004210548,0.00008593078,0.0005386416,0.008841551,0.0002432195,0.001064715,0.04613692,0.120763,0.814898],"study_design_scores_gemma":[0.00004934156,0.0001452109,0.001731665,0.005286519,0.0001244487,0.000532485,0.005899162,0.0008516677,0.0008340123,0.03381519,0.9506539,0.00007648938],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.04853331,0.1472075,0.1333978,0.2648242,0.02032087,0.002524036,0.005044597,0.008577098,0.3695706],"genre_scores_gemma":[0.4191885,0.1467723,0.2183286,0.1246185,0.01636278,0.003970428,0.007719135,0.001812873,0.061227],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.01801501,"threshold_uncertainty_score":0.06275588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1235353728524674,"score_gpt":0.3971254930472935,"score_spread":0.2735901201948261,"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."}}