{"id":"W2124881596","doi":"10.3324/haematol.2014.110742","title":"Focused chemical genomics using zebrafish xenotransplantation as a pre-clinical therapeutic platform for T-cell acute lymphoblastic leukemia","year":2014,"lang":"en","type":"article","venue":"Haematologica","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Izaak Walton Killam Health Centre; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Nova Scotia Health Research Foundation; Terry Fox Foundation; Beatrice Hunter Cancer Research Institute; California HIV/AIDS Research Program; Cancer Research Institute","keywords":"Zebrafish; Xenotransplantation; Leukemia; CRISPR; Cancer research; Cancer; Lymphoblastic Leukemia; Computational biology; PI3K/AKT/mTOR pathway; Medicine; Sanger sequencing; Genome editing; Mutation; Synthetic lethality; Biology; Bioinformatics; Immunology; Transplantation; Gene; Genetics; Internal medicine; Signal transduction; Mutant","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":[0.000325523,0.000473673,0.0002736439,0.0003511578,0.0002588409,0.0003751318,0.0003576903,0.00051058,0.001668847],"category_scores_gemma":[0.0001851994,0.0002106455,0.0004073431,0.0001539729,0.0005011117,0.0002791526,0.0004528236,0.0006713876,0.0003168789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009847831,"about_ca_system_score_gemma":0.0007455539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003194849,"about_ca_topic_score_gemma":0.004819232,"domain_scores_codex":[0.9998218,0.00003199495,0.000009057871,0.00003831138,0.00007144462,0.00002742813],"domain_scores_gemma":[0.9999249,0.00001564111,0.00002449556,0.0000123128,0.000008674692,0.0000139858],"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":[0.00005531409,0.00001834209,0.000168125,0.00003625885,0.000005193071,0.0000844815,0.00001855462,0.0007210886,0.9954897,0.0007807913,0.0001541832,0.002468072],"study_design_scores_gemma":[0.00004586412,0.0006416457,0.001610947,0.00001432352,0.0000360029,0.0004187928,0.00002908988,0.00370685,0.9852147,0.0003261747,0.00793475,0.00002077682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8784142,0.002612519,0.1047401,0.001360821,0.0001737176,0.0005933965,0.001527599,0.001478997,0.009098685],"genre_scores_gemma":[0.948447,0.002372996,0.04358639,0.0002084138,0.00001475514,0.000275038,0.000514171,0.00009863274,0.004482548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003194849,"threshold_uncertainty_score":0.007145166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03345092067895968,"score_gpt":0.3291770755806347,"score_spread":0.2957261549016751,"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."}}