{"id":"W2954729067","doi":"10.1007/978-3-030-17879-6_9","title":"Animal Models in Uveal Melanoma","year":2019,"lang":"en","type":"book-chapter","venue":"Clinical ophthalmic oncology","topic":"Ocular Oncology and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Xenotransplantation; Disease; Metastasis; Animal model; Melanoma; Human disease; Computational biology; Cancer; Computer science; Biology; Medicine; Pathology; Cancer research; Transplantation; Internal 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":[0.0005070758,0.0006420825,0.0004355832,0.0009741237,0.0002967559,0.001041388,0.000876953,0.001150113,0.0164493],"category_scores_gemma":[0.0002294605,0.000305795,0.0004134818,0.0004263052,0.0004202815,0.0009791258,0.0005324152,0.002100182,0.005984121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006440311,"about_ca_system_score_gemma":0.0002533565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001049871,"about_ca_topic_score_gemma":0.003443722,"domain_scores_codex":[0.9998618,0.00003840074,0.000007575146,0.00001854373,0.00005896051,0.00001452814],"domain_scores_gemma":[0.9998766,0.00007325284,0.000009792133,0.00001478664,0.0000144201,0.00001109052],"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":[0.0003415708,0.001313084,0.000311566,0.003079799,0.00006523477,0.00254109,0.0004921918,0.003132995,0.2504121,0.1475327,0.2240629,0.3667148],"study_design_scores_gemma":[0.00002214494,0.0002819572,0.000398345,0.0005214016,0.00003648044,0.002029081,0.00007680756,0.0008597923,0.02745963,0.01219836,0.9560974,0.00001860447],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01448293,0.3389038,0.04892471,0.005942876,0.004332779,0.0003516366,0.002473384,0.001295136,0.5832927],"genre_scores_gemma":[0.04391355,0.256353,0.03433733,0.003476628,0.0007951265,0.00051334,0.002407574,0.0003764389,0.657827],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0164493,"threshold_uncertainty_score":0.05502838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1156900716143637,"score_gpt":0.4229804892868243,"score_spread":0.3072904176724606,"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."}}