{"id":"W4413754293","doi":"10.1021/acs.jproteome.5c00391","title":"Proteomic Landscapes of 3D and 2D Models of High-Grade Serous Ovarian Carcinoma: Implications for Carboplatin Response","year":2025,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Carboplatin; Ovarian carcinoma; Serous fluid; Serous carcinoma; Carcinoma; Oncology; Cancer research; Internal medicine; Biology; Medicine; Computational biology; Ovarian cancer; Cancer; Chemotherapy; Cisplatin","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":[0.0001441,0.0002568078,0.0002344678,0.0004170998,0.0001899201,0.0006916443,0.0001447285,0.0003361269,0.0006670894],"category_scores_gemma":[0.0001826384,0.0002295061,0.000298165,0.0003810441,0.0002089522,0.0003873609,0.0003077551,0.0003175805,0.0001381608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002912678,"about_ca_system_score_gemma":0.000200762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001761872,"about_ca_topic_score_gemma":0.002173702,"domain_scores_codex":[0.9999162,0.00001085286,0.000005699803,0.0000196739,0.00003142219,0.00001602904],"domain_scores_gemma":[0.9999225,0.00001992211,0.00002055317,0.00000928118,0.0000142242,0.0000136468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001804049,0.00002757282,0.005914143,0.0001650253,0.00004823331,0.0001998144,0.0001295709,0.002462845,0.9861204,0.0002640215,0.0001966389,0.004291241],"study_design_scores_gemma":[0.00003990791,0.0001934819,0.2971663,0.00006280695,0.0001619302,0.001673909,0.001172507,0.06137905,0.6280947,0.001216541,0.008705021,0.0001337664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876125,0.001396097,0.008382948,0.0001097268,0.00002411631,0.00001387285,0.001258574,0.0001788359,0.001023329],"genre_scores_gemma":[0.9875616,0.001511747,0.008482677,0.00008797024,0.0000079971,0.00003549106,0.001492728,0.00006451827,0.0007551665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001761872,"threshold_uncertainty_score":0.003503203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05013018784903084,"score_gpt":0.3746084831570945,"score_spread":0.3244782953080637,"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."}}