{"id":"W4404215117","doi":"10.1111/cpr.13771","title":"Predicting tumour resistance to paclitaxel and carboplatin utilising genome‐wide screening in haploid human embryonic stem cells","year":2024,"lang":"en","type":"article","venue":"Cell Proliferation","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Azrieli Foundation; Israel Science Foundation","keywords":"Carboplatin; Paclitaxel; Embryonic stem cell; Ploidy; Biology; Genome; Stem cell; Computational biology; Cancer research; Genetics; Gene; Cancer; Chemotherapy; Cisplatin","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":[0.0003491341,0.0004834012,0.0003848084,0.0005079556,0.0001243256,0.0004966763,0.0002385488,0.0003702824,0.000410073],"category_scores_gemma":[0.0007229528,0.0001640775,0.0003268422,0.0003654238,0.0001577657,0.0001215216,0.0001876653,0.0002343507,0.0001303939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003502689,"about_ca_system_score_gemma":0.0004373603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002225129,"about_ca_topic_score_gemma":0.002349122,"domain_scores_codex":[0.9998689,0.0000259985,0.00001082222,0.00005811173,0.00002578348,0.00001041238],"domain_scores_gemma":[0.9998075,0.0001188501,0.00003329814,0.000009865626,0.00002100865,0.000009573344],"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":[0.0007277747,0.0001174902,0.0526988,0.0002001927,0.0001540841,0.0004428553,0.0001120675,0.2340047,0.6307984,0.0006668682,0.0005968535,0.07948],"study_design_scores_gemma":[0.0000466024,0.0002921553,0.02963361,0.00001770706,0.0001229363,0.0003051843,0.00008137072,0.7265188,0.2405985,0.0006974788,0.001655112,0.00003057764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9410321,0.0003912819,0.05581709,0.00007554211,0.000007732657,0.00008612892,0.001187096,0.0008034819,0.0005995009],"genre_scores_gemma":[0.9015995,0.0003229413,0.09445743,0.00005678826,0.000002465812,0.00008471082,0.002738151,0.00004699743,0.0006911283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002225129,"threshold_uncertainty_score":0.004424274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009343702285761214,"score_gpt":0.2615367105273459,"score_spread":0.2521930082415847,"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."}}