{"id":"W1969836997","doi":"10.1002/ijc.23844","title":"Tissue culture‐based breast cancer biomarker discovery platform","year":2008,"lang":"en","type":"review","venue":"International Journal of Cancer","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Biomarker discovery; Proteomics; Biomarker; Breast cancer; Cancer; Cancer biomarkers; Computational biology; Bioinformatics; Biology; Medicine; Cancer research; Internal medicine; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005320612,0.0003667459,0.0008151931,0.0001772109,0.00006206932,0.00009326368,0.001019563,0.0002895566,0.00127661],"category_scores_gemma":[0.00001363064,0.0002726912,0.0006054034,0.0001345644,0.00008789125,0.000356485,0.00008566579,0.0006276421,0.000008887967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009947421,"about_ca_system_score_gemma":0.0009140748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008698169,"about_ca_topic_score_gemma":0.00001716936,"domain_scores_codex":[0.9980128,0.000009531367,0.0009111909,0.0002504668,0.0006167785,0.000199222],"domain_scores_gemma":[0.9973833,0.00005968054,0.001646732,0.0002286554,0.0005745512,0.0001070603],"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":[0.00005111307,0.00007179996,0.00001828063,0.0006374431,0.0006994309,0.00006314381,0.00001261821,0.00002934264,0.0002279717,0.0001675026,0.007077395,0.990944],"study_design_scores_gemma":[0.000309093,0.000006884368,0.000002914888,0.009353795,0.000249447,0.0007125924,0.000003157422,0.000009850746,0.001227984,0.0002391937,0.9875877,0.0002973345],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000009962304,0.9903226,0.005416654,0.0002782168,0.0005540231,0.0001409138,0.002061442,0.00002959748,0.001186545],"genre_scores_gemma":[0.00008412535,0.9938536,0.001977318,0.0001191515,0.001812868,0.0002425505,0.00009903753,0.00006786986,0.00174345],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9906466,"threshold_uncertainty_score":0.9999725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03916503250773459,"score_gpt":0.4080644863411277,"score_spread":0.3688994538333931,"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."}}