{"id":"W4233462531","doi":"10.1373/clinchem.2010.152140","title":"Cancer Genomes","year":2010,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research; University Health Network","funders":"","keywords":"Computational biology; Genome; Biology; Evolutionary biology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00163025,0.00110542,0.00132937,0.003351459,0.001770932,0.004103769,0.002558933,0.003239652,0.2130294],"category_scores_gemma":[0.007776643,0.0006610249,0.00145575,0.005292029,0.0004044612,0.002280422,0.003254876,0.002435668,0.1354825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002100066,"about_ca_system_score_gemma":0.003859589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007240122,"about_ca_topic_score_gemma":0.007419672,"domain_scores_codex":[0.9987684,0.0002299068,0.0001049611,0.0002847482,0.0004477215,0.0001642697],"domain_scores_gemma":[0.997601,0.0005292355,0.0001637741,0.0004790183,0.0008187807,0.0004082202],"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":[0.0001172814,0.00001574381,0.0007531642,0.0009103107,0.00005662836,0.000110876,0.0001153024,0.0003303436,0.0005942919,0.01266039,0.9113137,0.07302205],"study_design_scores_gemma":[0.00001826725,0.000007028234,0.0004112912,0.0001149928,0.00001506335,0.00009386255,0.00002713413,0.0001049008,0.0001398139,0.002951461,0.996106,0.00001006058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002383748,0.01750288,0.02279475,0.02073712,0.006280929,0.0006153671,0.6731955,0.019722,0.2367676],"genre_scores_gemma":[0.01344451,0.01538457,0.03070443,0.008934391,0.0009594987,0.00102271,0.849327,0.003565205,0.07665752],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2130294,"threshold_uncertainty_score":0.7126545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870649348654841,"score_gpt":0.3434933374327846,"score_spread":0.3247868439462362,"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."}}