{"id":"W2116298046","doi":"10.1038/msb4100200","title":"A map of human cancer signaling","year":2007,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":269,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; National Research Council Canada; Biotechnology Research Institute","funders":"National Cancer Institute","keywords":"Library science; China; Zhàng; Research council; Editorial board; Political science; Law; Computer science; Government (linguistics)","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":[0.0001271008,0.0006908358,0.0002597955,0.003279457,0.0004468724,0.0005954301,0.0003130119,0.0003197147,0.005419752],"category_scores_gemma":[0.001080893,0.0001731831,0.0007364868,0.003459683,0.0002186837,0.0004495616,0.0003974779,0.000282161,0.00121903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019763,"about_ca_system_score_gemma":0.001055904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01101779,"about_ca_topic_score_gemma":0.009709985,"domain_scores_codex":[0.9997488,0.00003622466,0.00001421216,0.0001006917,0.00007109665,0.00002896629],"domain_scores_gemma":[0.9996138,0.0001325992,0.00006148676,0.00004020404,0.0001227888,0.00002913367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001526851,0.0002253437,0.07852617,0.007895826,0.0009719221,0.004666,0.002399646,0.235257,0.1260151,0.06215234,0.1058014,0.3745624],"study_design_scores_gemma":[0.0001509212,0.0003909279,0.2033507,0.0005365564,0.0005595863,0.003802984,0.0008845243,0.3013942,0.04761771,0.05802513,0.3831485,0.0001382007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5355529,0.008873158,0.1256191,0.001237329,0.0001204949,0.0005496815,0.2773297,0.01007652,0.0406411],"genre_scores_gemma":[0.753615,0.003338246,0.07593253,0.0001645147,0.00005718511,0.0003640504,0.1603893,0.0003024299,0.005836804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01101779,"threshold_uncertainty_score":0.02190733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009292567902469975,"score_gpt":0.2703930611938711,"score_spread":0.2611004932914012,"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."}}