{"id":"W2994214537","doi":"","title":"Nestin in uveal melanoma: a novel biomarker","year":2018,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Ocular Oncology and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Melanoma; Biomarker; Nestin; Cancer research; Medicine; Biology; Cell biology; Genetics","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":[0.0004164453,0.0002473826,0.0002441595,0.0009954586,0.0002811302,0.0007599475,0.0002181582,0.0005582567,0.0009793591],"category_scores_gemma":[0.0007157507,0.0001644242,0.0001975623,0.0005126831,0.00031369,0.0006099929,0.0004597641,0.0005178487,0.0001926578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003314755,"about_ca_system_score_gemma":0.0002720231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005923748,"about_ca_topic_score_gemma":0.0009221336,"domain_scores_codex":[0.9998326,0.00003644281,0.00001561588,0.00002613851,0.00006131129,0.00002784636],"domain_scores_gemma":[0.9996229,0.00006160136,0.0001456072,0.00001965189,0.0000850393,0.00006504606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003139042,0.0003179618,0.5236081,0.0007948893,0.0004684463,0.003771292,0.0004544153,0.001046458,0.2523042,0.002901871,0.004577924,0.2066154],"study_design_scores_gemma":[0.0002680874,0.002514885,0.7483091,0.0004778377,0.001014684,0.02335797,0.001220428,0.0120437,0.1391091,0.006732562,0.06486885,0.00008283515],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9545576,0.03204391,0.002842831,0.001221995,0.0001720446,0.00005593025,0.0005411481,0.00007232999,0.008492285],"genre_scores_gemma":[0.9910732,0.003627513,0.002578548,0.0001892435,0.0001329468,0.00003012598,0.0002677651,0.000007946413,0.002092706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009954586,"threshold_uncertainty_score":0.003276289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06733244572224689,"score_gpt":0.3860268381101838,"score_spread":0.3186943923879369,"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."}}