{"id":"W1975762434","doi":"10.1142/s0219720007002606","title":"A SYSTEMS BIOLOGY APPROACH TO THE STUDY OF CISPLATIN DRUG RESISTANCE IN OVARIAN CANCERS","year":2007,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University; Indiana University-Purdue University Indianapolis","keywords":"Proteomics; Proteome; Computational biology; Cisplatin; Biology; Systems biology; Mechanism (biology); Drug resistance; Quantitative proteomics; Bioinformatics; Cell biology; Gene; Biochemistry; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006084905,0.0004415853,0.0005572591,0.0006365818,0.0003758562,0.0007561028,0.0004037871,0.0003381631,0.0008094662],"category_scores_gemma":[0.00115884,0.0002504027,0.000795568,0.0005050795,0.0006979918,0.0006262106,0.0006188148,0.0007394975,0.00009863255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001026595,"about_ca_system_score_gemma":0.0007796197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001485451,"about_ca_topic_score_gemma":0.001492989,"domain_scores_codex":[0.9996421,0.0001981148,0.00001862752,0.00007240198,0.0000480359,0.00002067175],"domain_scores_gemma":[0.9995518,0.0003158248,0.00004363088,0.00004263277,0.00002826041,0.00001787966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001947803,0.0002349567,0.01012481,0.0008957182,0.000826211,0.0004880939,0.0003131974,0.6103244,0.1876629,0.1415042,0.0009614967,0.04646925],"study_design_scores_gemma":[0.00003621714,0.000284221,0.005936562,0.000031495,0.0001610216,0.0001654511,0.0001113449,0.8986204,0.02374408,0.06565795,0.005215411,0.00003574181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1832715,0.002339827,0.8084911,0.001256292,0.00009531704,0.0002443877,0.0006736615,0.0004289903,0.003198899],"genre_scores_gemma":[0.7668695,0.002158126,0.2284561,0.0001994074,0.00006670471,0.0004956945,0.0006383747,0.00004235499,0.001073578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001485451,"threshold_uncertainty_score":0.007448554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009068232204207032,"score_gpt":0.2492068212457191,"score_spread":0.2401385890415121,"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."}}