{"id":"W4416407902","doi":"10.1101/2025.11.16.688689","title":"ProMPt: A modular preclinical platform for functional modelling of prostate cancer heterogeneity and therapeutic vulnerabilities","year":2025,"lang":"","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"Prostate Cancer UK; Cancer Research UK; American Association for Cancer Research","keywords":"Prostate cancer; Prostate; Immune system; Organoid; Transcriptome; CRISPR; Disease; Immunotherapy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001095354,0.0007693706,0.0004680996,0.0006933233,0.000292281,0.001078473,0.0009367254,0.0008037301,0.005135141],"category_scores_gemma":[0.0005347767,0.0006031374,0.0005724985,0.0002389362,0.0006290385,0.0006502864,0.001272168,0.001720573,0.0009542075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004752122,"about_ca_system_score_gemma":0.0006362467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005453666,"about_ca_topic_score_gemma":0.000668018,"domain_scores_codex":[0.9996277,0.00006126179,0.00002102832,0.00006941421,0.0001713126,0.00004921838],"domain_scores_gemma":[0.9996862,0.00007654252,0.00006930952,0.00006991737,0.00003436342,0.00006364568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002523438,0.00007919727,0.0006745427,0.0001877321,0.0000403331,0.0001705945,0.00009437991,0.0174383,0.9601983,0.008940933,0.001912502,0.01001089],"study_design_scores_gemma":[0.0001567519,0.0006833627,0.001865609,0.00006517089,0.00007668586,0.0004955331,0.00007792529,0.06831691,0.8598508,0.00507174,0.06326325,0.00007627268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2412877,0.001560056,0.7244865,0.0009087679,0.0004415043,0.0005492316,0.008277521,0.01221831,0.01027043],"genre_scores_gemma":[0.7455933,0.002301828,0.232043,0.0002564797,0.00009456179,0.001379002,0.005826689,0.002267089,0.01023805],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005135141,"threshold_uncertainty_score":0.01717877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08290485378842888,"score_gpt":0.3204281480739146,"score_spread":0.2375232942854857,"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."}}