{"id":"W4251722174","doi":"10.1158/1538-7445.am2014-4278","title":"Abstract 4278: International Cancer Genome Consortium (ICGC)","year":2014,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Genome; Globe; Library science; Identification (biology); Biology; Computational biology; Computer science; 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":[0.02830621,0.001892106,0.003178668,0.01007875,0.003040358,0.007818274,0.007536552,0.003976713,0.08267865],"category_scores_gemma":[0.05201126,0.001495886,0.001434085,0.03033857,0.001458771,0.002405514,0.007174164,0.005110043,0.03866299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01259987,"about_ca_system_score_gemma":0.06517603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2591436,"about_ca_topic_score_gemma":0.2070205,"domain_scores_codex":[0.9820123,0.003908392,0.001553151,0.003209859,0.006563683,0.002752631],"domain_scores_gemma":[0.9184317,0.007519074,0.002739207,0.01394655,0.04415888,0.01320459],"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":[0.0001498252,0.00002401945,0.000916758,0.000293292,0.0000362842,0.00001902661,0.00005148091,0.0001482703,0.0001398692,0.001790686,0.9865065,0.009923855],"study_design_scores_gemma":[0.0002173254,0.00003061022,0.0101382,0.0004437861,0.00005844958,0.00003642344,0.00007371398,0.0001792045,0.0003311347,0.0009910861,0.9874545,0.00004552309],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0009360118,0.001371679,0.002168964,0.01015579,0.002324928,0.001516717,0.9361994,0.00215368,0.04317282],"genre_scores_gemma":[0.002756689,0.0008726617,0.004939926,0.003219497,0.000376559,0.002875297,0.9697907,0.0009893805,0.01417931],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2591436,"threshold_uncertainty_score":0.5152704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04790454397215418,"score_gpt":0.386006713944055,"score_spread":0.3381021699719008,"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."}}