{"id":"W2112879608","doi":"10.1186/1475-2867-6-26","title":"Expression of EpCAM in uveal melanoma","year":2006,"lang":"en","type":"article","venue":"Cancer Cell International","topic":"Cell Adhesion Molecules Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Melanoma; Expression (computer science); Medicine; Cancer research; Computer science","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":[0.0002140108,0.0001424412,0.0001090065,0.0006133371,0.0001756034,0.0002149009,0.00008412261,0.0001610688,0.001390201],"category_scores_gemma":[0.0005838798,0.00006433923,0.00009297732,0.0002128634,0.0001857386,0.0001762391,0.0001631889,0.0001563839,0.0002060548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002009988,"about_ca_system_score_gemma":0.00008781948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004846945,"about_ca_topic_score_gemma":0.0005537827,"domain_scores_codex":[0.9999115,0.00001738547,0.00001145237,0.00001234527,0.00002612911,0.00002116268],"domain_scores_gemma":[0.9997707,0.00006850939,0.00005296541,0.00001964115,0.00005457515,0.00003370644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001224217,0.0001118636,0.2043186,0.0004634969,0.00006648833,0.01207262,0.0002781434,0.0002446922,0.7254587,0.0006981862,0.0005042216,0.05455868],"study_design_scores_gemma":[0.000106162,0.001937256,0.6408962,0.000176911,0.0001909348,0.06165646,0.0004334097,0.001660122,0.2786233,0.0009096846,0.01338699,0.00002243216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935125,0.003680186,0.0006258097,0.00003124735,0.00001016845,0.0000105197,0.00006037058,0.0000108552,0.002058328],"genre_scores_gemma":[0.9984021,0.0005974969,0.0004964402,0.00001438913,0.000007846428,0.000005529852,0.0000615887,0.000001540093,0.0004130923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001390201,"threshold_uncertainty_score":0.004650652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554874217766789,"score_gpt":0.3182443507349891,"score_spread":0.3026956085573212,"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."}}