{"id":"W2168264491","doi":"10.1038/nbt.1522","title":"Dynamic modularity in protein interaction networks predicts breast cancer outcome","year":2009,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":711,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Occupational Cancer Research Centre; Canada Research Chairs; University of New Brunswick; University of Toronto","funders":"","keywords":"Interactome; Modularity (biology); Breast cancer; Carcinogenesis; Biology; Computational biology; Phenotype; Cancer; Outcome (game theory); Protein–protein interaction; Bioinformatics; Interaction network; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00349498992628686,"score_gpt":0.2516630259113888,"score_spread":0.2481680359851019,"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."},"direct_labels":[],"classifier":{"requested":true,"available":true,"version":"metacan-v1-d91a1de5be90","frame_rows_covered":4299418,"decision_targets":["metaresearch","metaepi_narrow","metaepi_broad","bibliometrics","sts","scholarly_communication","open_science","research_integrity","randomized_trial","nonrandomized_trial","observational","systematic_review","meta_analysis","case_report","qualitative","simulation_or_modeling","bench_or_experimental","theoretical_or_conceptual","not_applicable"],"score_encoding":"uint16_le_65535","score_resolution":0.000015259021896696422,"interpretation":"Scores imitate each teacher on the enriched screening sample; they are not calibrated prevalence probabilities for the full frame.","warning":null},"prediction":{"classifier_version":"metacan-v1-d91a1de5be90","candidate_union":["simulation_or_modeling","not_applicable"],"consensus_intersection":["not_applicable"],"score_encoding":"uint16_le_65535","score_resolution":0.000015259021896696422,"scores":{"codex":{"metaresearch":0.00022888532845044633,"metaepi_narrow":0.000015259021896696422,"metaepi_broad":0,"bibliometrics":0.00022888532845044633,"sts":0.00010681315327687495,"scholarly_communication":0.000045777065690089265,"open_science":0.00010681315327687495,"research_integrity":0.0013122758831158924,"randomized_trial":0.00007629510948348211,"nonrandomized_trial":0.000015259021896696422,"observational":0.0018005645838101779,"systematic_review":0.000015259021896696422,"meta_analysis":0.000015259021896696422,"case_report":0.000015259021896696422,"qualitative":0.000030518043793392844,"simulation_or_modeling":0.0034637979705500876,"bench_or_experimental":0.04234378576333257,"theoretical_or_conceptual":0.005996795605401694,"not_applicable":0.07354848554207676,"design_other":0.04217593652246891},"gemma":{"metaresearch":0.00016784924086366064,"metaepi_narrow":0.000015259021896696422,"metaepi_broad":0,"bibliometrics":0.00015259021896696422,"sts":0.00018310826276035706,"scholarly_communication":0.000030518043793392844,"open_science":0.003509575036240177,"research_integrity":0.0016937514305333029,"randomized_trial":0.000030518043793392844,"nonrandomized_trial":0.000015259021896696422,"observational":0.023529411764705882,"systematic_review":0.000015259021896696422,"meta_analysis":0,"case_report":0.000045777065690089265,"qualitative":0.000045777065690089265,"simulation_or_modeling":0.23515678644998855,"bench_or_experimental":0.030991073472190434,"theoretical_or_conceptual":0.0005188067444876783,"not_applicable":0.029449912260624093}},"interpretation":"Scores imitate each teacher on the enriched screening sample; they are not calibrated prevalence probabilities for the full frame."}}