{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001377337,0.0001175734,0.0002675501,0.0001599511,0.00005924658,0.00001739038,0.0002355024,0.00009691808,6.747895e-7],"category_scores_gemma":[0.0000385409,0.00007874109,0.00004573367,0.0001781673,0.00007808299,0.00000744731,0.00008832654,0.0001436944,5.237893e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002596194,"about_ca_system_score_gemma":0.0001106229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004195755,"about_ca_topic_score_gemma":0.000162552,"domain_scores_codex":[0.9985815,0.0000603407,0.0009769751,0.00008988349,0.0001004166,0.0001909125],"domain_scores_gemma":[0.9989545,0.00008470586,0.0005758058,0.0001290511,0.0001842423,0.00007169962],"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":[0.005506688,0.002171526,0.07631602,0.0008860917,0.00226953,0.00001635674,0.05709432,0.6179923,0.007476036,0.1586579,0.01801685,0.05359638],"study_design_scores_gemma":[0.03783951,0.01901896,0.2152863,0.0008430769,0.0005045735,0.001439065,0.117989,0.407518,0.001019809,0.04532921,0.1493347,0.003877877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7654089,0.001109393,0.2308308,0.0001775453,0.0003237046,0.0004377823,0.00002231512,0.000001521808,0.001688002],"genre_scores_gemma":[0.9845402,0.00003857335,0.01504798,0.0001998728,0.0001155675,0.000003937052,0.00002473382,0.000005106796,0.00002407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2191312,"threshold_uncertainty_score":0.3210968,"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."}}