{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002607737,0.0001352872,0.0001044921,0.00008938301,0.00008573444,0.0001034026,0.000061905,0.00008574062,0.000002232423],"category_scores_gemma":[0.00001456714,0.0001498681,0.00002837469,0.0001174285,0.0000122009,0.000008627972,0.00005869659,0.0001189824,0.000002427335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001912956,"about_ca_system_score_gemma":0.00002836734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008814197,"about_ca_topic_score_gemma":0.0001866992,"domain_scores_codex":[0.99907,0.00003347503,0.0002132286,0.0003757291,0.00009448317,0.0002130953],"domain_scores_gemma":[0.9997196,0.0000147953,0.0000242418,0.0001452758,0.00002556586,0.00007058588],"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":[0.00001473528,0.000006843758,0.004476196,0.0001399644,0.000006687247,0.000005571024,0.0005133084,0.004552285,0.989664,0.00001156216,0.00008458563,0.0005243004],"study_design_scores_gemma":[0.0002419289,0.0000916974,0.006647738,0.000145465,0.00001268233,0.000003458978,0.0003062549,0.007284665,0.9828001,0.00001748048,0.002225067,0.000223449],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713538,0.00476294,0.02289327,0.00008820951,0.00009424437,0.0002967628,0.000006645663,0.00003349935,0.0004706215],"genre_scores_gemma":[0.9973513,0.00005405716,0.001038423,0.00005064959,0.0001968844,0.00002785021,0.00002949955,0.00003053388,0.001220778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02599752,"threshold_uncertainty_score":0.6111442,"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."}}