{"id":"W3098636833","doi":"10.1101/2020.11.10.376152","title":"Docosahexaenoic acid alone and in combination with carboplatin significantly reduces tumor cell growth in preclinical models of ovarian cancer","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer, Stress, Anesthesia, and Immune Response","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Alberta","funders":"Faculty of Medicine and Dentistry, University of Alberta; University of Alberta; Alberta Cancer Foundation","keywords":"Carboplatin; Ovarian cancer; Docosahexaenoic acid; Medicine; Chemotherapy; Internal medicine; Cancer; Oncology; Pharmacology; Cancer research; Cisplatin; Biology; Fatty acid; Polyunsaturated fatty acid; 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":[0.0001669437,0.0004692423,0.0003422203,0.0004694036,0.0001928313,0.0002496028,0.0001826447,0.0002969933,0.002307066],"category_scores_gemma":[0.0001068954,0.0001357463,0.0002497346,0.0002669648,0.0002515626,0.0001840627,0.0001521672,0.0008368846,0.0004046826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003175076,"about_ca_system_score_gemma":0.0003424891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00123706,"about_ca_topic_score_gemma":0.002041813,"domain_scores_codex":[0.9998899,0.00001960274,0.00001051681,0.00001833455,0.00003023296,0.00003147084],"domain_scores_gemma":[0.9999031,0.00001580156,0.00002284869,0.00001622934,0.00001108291,0.00003095747],"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":[0.001528034,0.0004446574,0.0002484169,0.00007354164,0.00001964911,0.00004797655,0.00002945906,0.0001518558,0.9933943,0.0001274211,0.0003356842,0.003599088],"study_design_scores_gemma":[0.0000876437,0.001916158,0.001893358,0.000009607714,0.00002585168,0.00006644482,0.00003770871,0.0004567629,0.9926382,0.00006149281,0.002802413,0.000004305416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836157,0.003469099,0.004041035,0.0006969174,0.0002640856,0.0001172824,0.002617688,0.000255049,0.004923059],"genre_scores_gemma":[0.9744508,0.002982005,0.004291086,0.0001796913,0.00004423704,0.0001862886,0.002532644,0.00007800505,0.01525536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002307066,"threshold_uncertainty_score":0.007717848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02408914774362414,"score_gpt":0.2528384472430927,"score_spread":0.2287492994994686,"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."}}