{"id":"W2555649773","doi":"10.1002/path.4849","title":"Genetics meets pathology – an increasingly important relationship","year":2016,"lang":"en","type":"review","venue":"The Journal of Pathology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre","funders":"Medical Research Council","keywords":"Genomics; Disease; Data science; Medicine; Biology; Pathology; Computer science; Genetics; Genome","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":[0.002507138,0.001197575,0.002063049,0.003160037,0.0007206382,0.003278676,0.001156727,0.005580188,0.008491873],"category_scores_gemma":[0.003659857,0.0004714325,0.0005623201,0.003387492,0.004709101,0.007737782,0.002324913,0.008956551,0.004544101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002102014,"about_ca_system_score_gemma":0.002326179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009362448,"about_ca_topic_score_gemma":0.001179099,"domain_scores_codex":[0.9987488,0.0004412527,0.0001232709,0.0001777066,0.0004228066,0.00008622125],"domain_scores_gemma":[0.9961365,0.002650295,0.0002597835,0.0001464612,0.0004743109,0.0003326429],"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":[0.00006725129,0.00006298513,0.0004603271,0.007517497,0.0001258367,0.001571247,0.0004974852,0.0002766577,0.001413177,0.06429604,0.1787165,0.744995],"study_design_scores_gemma":[0.000008421283,0.00002688516,0.0003375139,0.00264498,0.00001995818,0.003864593,0.0001938244,0.00002932175,0.00008558668,0.01626717,0.9765056,0.00001615312],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007853901,0.9831104,0.0003038734,0.01273774,0.001876559,0.00000235967,0.000009079957,0.0000173835,0.001864084],"genre_scores_gemma":[0.001655206,0.9845237,0.0005578567,0.007145102,0.004636924,0.000005599508,0.00001608391,0.000009529792,0.001449969],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008491873,"threshold_uncertainty_score":0.02840817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03699468308120326,"score_gpt":0.328038146602963,"score_spread":0.2910434635217597,"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."}}