{"id":"W2911783086","doi":"10.1007/s40487-019-0093-y","title":"Correction to: Uveal Melanoma: A Review of the Literature","year":2019,"lang":"en","type":"review","venue":"Oncology and Therapy","topic":"Ocular Oncology and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Melanoma; Information retrieval; Computer science; Medicine; History; Cancer research","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":[0.003199528,0.001152272,0.001672243,0.005344477,0.001463309,0.002757739,0.002098321,0.002610174,0.03852288],"category_scores_gemma":[0.03460366,0.000482618,0.001294672,0.003379622,0.001528093,0.002399301,0.001875634,0.004478665,0.02136504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630782,"about_ca_system_score_gemma":0.004856576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004223743,"about_ca_topic_score_gemma":0.006509951,"domain_scores_codex":[0.9971588,0.000484081,0.0007509321,0.0003508422,0.0009855663,0.000269876],"domain_scores_gemma":[0.9810879,0.004199954,0.001657053,0.0005463428,0.01151143,0.0009973843],"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":[0.00004448348,0.00000648298,0.0001441992,0.001734879,0.00002834181,0.0006951903,0.00007054427,0.00003798931,0.0001113929,0.0005921461,0.9577494,0.03878487],"study_design_scores_gemma":[0.00002418241,0.00002605681,0.0005003261,0.002462549,0.00007326257,0.003192784,0.0001045805,0.00006461504,0.000220415,0.0007355229,0.9925671,0.00002868941],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000309866,0.04755199,0.0005578482,0.05415799,0.894078,0.00002769964,0.0005061495,0.0001476954,0.002662763],"genre_scores_gemma":[0.01733825,0.2405265,0.003561154,0.0918224,0.5765465,0.0001506066,0.001880208,0.0007761474,0.06739817],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.03852288,"threshold_uncertainty_score":0.1288719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03696998735483649,"score_gpt":0.3878059018535833,"score_spread":0.3508359144987468,"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."}}