{"id":"W2338789981","doi":"10.1159/000441192","title":"International Clinical Guidelines for the Adoption of Digital Pathology: A Review of Technical Aspects","year":2016,"lang":"en","type":"review","venue":"Pathobiology","topic":"AI in cancer detection","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital pathology; Medicine; Telepathology; Pathology; Food and drug administration; Medicaid; Anatomical pathology; Disease control; Surgical pathology; Telemedicine; Health care; Medical emergency; Environmental health; Political science","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":[0.009111449,0.001035196,0.00179509,0.009482999,0.000785044,0.002069322,0.003487401,0.003071134,0.007314437],"category_scores_gemma":[0.01785136,0.0006119713,0.001564595,0.006293303,0.001878439,0.002927467,0.001766981,0.002842969,0.005897587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001788171,"about_ca_system_score_gemma":0.007261551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004449446,"about_ca_topic_score_gemma":0.005714714,"domain_scores_codex":[0.9941712,0.001273013,0.001807438,0.000419597,0.002138369,0.0001902951],"domain_scores_gemma":[0.9855849,0.006725737,0.001468117,0.0004756353,0.005387586,0.0003579638],"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":[0.00005388965,0.00008381418,0.0004242243,0.02027157,0.00006438426,0.0003233105,0.0002467677,0.0002687617,0.0009516544,0.005755448,0.08565327,0.8859029],"study_design_scores_gemma":[0.00001855592,0.00006580553,0.001263319,0.01817679,0.0001270623,0.001429425,0.00021033,0.0001034402,0.0006481742,0.002593233,0.9753181,0.00004574092],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003783717,0.9771797,0.00400001,0.006784087,0.001629918,0.0002662318,0.0004699212,0.0001434905,0.009148247],"genre_scores_gemma":[0.002335879,0.975269,0.01465398,0.002832046,0.0005100729,0.0004195349,0.001016565,0.00005724556,0.002905706],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009482999,"threshold_uncertainty_score":0.04818654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2103291483091348,"score_gpt":0.4756322662583719,"score_spread":0.2653031179492371,"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."}}