{"id":"W2614094721","doi":"10.1186/s13046-017-0538-9","title":"Novel glycolipid agents for killing cisplatin-resistant human epithelial ovarian cancer cells","year":2017,"lang":"en","type":"article","venue":"Journal of Experimental & Clinical Cancer Research","topic":"Cell death mechanisms and regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"CancerCare Manitoba; Research Institute in Oncology and Hematology; University of Manitoba","funders":"Saudi Arabian Cultural Bureau; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; CancerCare Manitoba Foundation; Research Manitoba","keywords":"Cisplatin; Glycolipid; Epithelial ovarian cancer; Apoptosis; Ovarian cancer; Cancer research; Medicine; Cancer; Biology; Oncology; Internal medicine; Immunology; Chemotherapy; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0000880139,0.0002931528,0.0001595984,0.0003074018,0.0001008186,0.0001460134,0.0002066615,0.0002401876,0.001043132],"category_scores_gemma":[0.00007587871,0.00006973119,0.0001681976,0.0001588184,0.0001141949,0.0002180846,0.0002061569,0.0003791161,0.0002862378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002169909,"about_ca_system_score_gemma":0.0001441591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000192851,"about_ca_topic_score_gemma":0.0006530175,"domain_scores_codex":[0.9999685,0.000006146966,0.0000025281,0.000007062791,0.000009532572,0.000006264816],"domain_scores_gemma":[0.9999698,0.000004919109,0.000006890045,0.000002939422,0.00000777481,0.000007685631],"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":[0.0002786812,0.0001214972,0.000282981,0.0003133565,0.00001347251,0.0001321844,0.0000274528,0.0004889613,0.9730118,0.0005177467,0.0002854701,0.02452645],"study_design_scores_gemma":[0.000186525,0.001814113,0.002509391,0.00004268489,0.00003980059,0.0005522975,0.0000230569,0.00110667,0.9689774,0.0001581561,0.02457933,0.00001048217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.946268,0.02903705,0.01416334,0.0004965196,0.0001934485,0.0006157373,0.0007767091,0.0001822476,0.008266909],"genre_scores_gemma":[0.9720477,0.01140528,0.01099592,0.0001946426,0.00002841858,0.000273602,0.0005801862,0.00002377688,0.004450443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001043132,"threshold_uncertainty_score":0.003489673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2268626063857858,"score_gpt":0.5359990121024741,"score_spread":0.3091364057166884,"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."}}