{"id":"W2129971190","doi":"10.1016/j.diff.2015.10.012","title":"Subrenal capsule grafting technology in human cancer modeling and translational cancer research","year":2015,"lang":"en","type":"review","venue":"Differentiation","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver General Hospital; University of British Columbia; BC Cancer Agency","funders":"Canadian Institutes of Health Research","keywords":"Cancer; Cancer research; Translational research; Biology; Cancer drugs; Metastasis; Drug discovery; Computational biology; Oncology; Bioinformatics; Medicine; Biotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002933978,0.0001976761,0.0004214504,0.0003351401,0.0001001813,0.00004076735,0.0001434957,0.0004168145,0.00001339988],"category_scores_gemma":[0.00004035874,0.0001938057,0.0000706577,0.0002325218,0.00005306762,0.000003543523,0.000103347,0.0003153064,0.000001012462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009403809,"about_ca_system_score_gemma":0.0004041682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005050983,"about_ca_topic_score_gemma":0.001612894,"domain_scores_codex":[0.998682,0.00008354845,0.0003500402,0.0004328962,0.0001805928,0.0002708958],"domain_scores_gemma":[0.9994643,0.00001339639,0.0001075933,0.0001784974,0.0001800774,0.00005615797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001904877,0.0001118889,0.001802511,0.003056074,0.0002097543,0.000003450908,0.0001799395,0.001137172,0.00512202,0.001329689,0.0004016975,0.9866267],"study_design_scores_gemma":[0.003729271,0.0003319847,0.0007356351,0.01184258,0.0009859076,0.00002551423,0.0001806658,0.01333569,0.001915373,0.009652084,0.9547673,0.002497989],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.06074501,0.9382911,0.000224677,0.0000633176,0.000125243,0.0003484256,0.0001560879,0.000006755504,0.00003932783],"genre_scores_gemma":[0.07121347,0.9270495,0.00003625475,0.000006650449,0.0003459426,0.0003260976,0.0009355625,0.00003606193,0.00005046679],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9841288,"threshold_uncertainty_score":0.7903166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1014462350588714,"score_gpt":0.4163345513864034,"score_spread":0.314888316327532,"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."}}