{"id":"W4410873435","doi":"10.1101/2025.05.27.654799","title":"Multiple <i>FGFR1</i> mutations modulate tumorigenic mechanisms in glioneuronal tumors","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Fibroblast Growth Factor Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; University of Toronto; Université de Montréal; McGill University; Sinai Health System; Montreal Clinical Research Institute; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"Instituto de Salud Carlos III; Ministerio de Ciencia e Innovación","keywords":"Mutation; Cancer research; Genetics; Biology; Neuroscience; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004777059,0.0006340924,0.0005176721,0.00050526,0.0001482782,0.0001610331,0.0009204283,0.0006393084,0.00002879339],"category_scores_gemma":[0.0004856592,0.0007506817,0.000243811,0.000627096,0.0001431917,0.00001389299,0.001318691,0.0009812909,0.00004993228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001999972,"about_ca_system_score_gemma":0.001291922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001153455,"about_ca_topic_score_gemma":0.00003124511,"domain_scores_codex":[0.99624,0.0002661124,0.0006621389,0.001495929,0.0004870472,0.0008487509],"domain_scores_gemma":[0.9975821,0.00005414616,0.0002445233,0.001451696,0.0003923871,0.0002751853],"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":[0.00008261418,0.0001744313,0.0057965,0.0002735344,0.00009391194,0.0000706616,0.000003664432,0.001510392,0.9913958,0.0004464424,0.000151153,8.535216e-7],"study_design_scores_gemma":[0.0009137618,0.0001166701,0.0586741,0.0003194899,0.00003359919,5.736652e-8,0.000002584212,0.001839201,0.9360168,0.0000219367,0.001267547,0.000794257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992489,0.0004429925,0.004254053,0.0001329577,0.000713671,0.001037024,0.0007813543,0.0001273408,0.00002161643],"genre_scores_gemma":[0.9950397,0.00008685569,0.003934438,0.000149552,0.0002221761,0.0003927633,0.000009183143,0.000119958,0.0000453764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05537904,"threshold_uncertainty_score":0.9994944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097068412791364,"score_gpt":0.2357641345248509,"score_spread":0.2247934503969373,"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."}}