{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006589348,0.0009801469,0.001493574,0.001213124,0.0002768869,0.0009086251,0.001557329,0.001057782,0.002278592],"category_scores_gemma":[0.0003367158,0.0004452897,0.0005139567,0.00112955,0.0003145261,0.0006657582,0.000505617,0.00115275,0.005335378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007340572,"about_ca_system_score_gemma":0.0005579729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007417239,"about_ca_topic_score_gemma":0.000937998,"domain_scores_codex":[0.9995777,0.000069627,0.00002432998,0.00007262912,0.0002246498,0.00003109911],"domain_scores_gemma":[0.9998214,0.00004936407,0.0000237247,0.00001619987,0.00007061251,0.00001877111],"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":[0.0002120607,0.0002501318,0.0003961325,0.006346485,0.0001041649,0.0007920112,0.00006232449,0.0009550636,0.4203272,0.004437269,0.02074876,0.5453684],"study_design_scores_gemma":[0.00004395855,0.0003994275,0.001255477,0.0003201936,0.0001937231,0.003329649,0.00004795606,0.001288722,0.2552411,0.0009251264,0.7368964,0.00005829184],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01069139,0.9134568,0.05193541,0.001589639,0.001577445,0.0004364358,0.0008726923,0.0007306005,0.01870954],"genre_scores_gemma":[0.03821244,0.8740315,0.05899141,0.001383364,0.000416373,0.0006405198,0.001898116,0.00005727125,0.02436891],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002278592,"threshold_uncertainty_score":0.007622659,"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."}}