{"id":"W4407119133","doi":"","title":"Analyse bioinformatique intégrative de l'hétérogénéité intra-tumorale dans le neuroblastome au niveau de la cellule unique","year":2024,"lang":"en","type":"dissertation","venue":"theses.fr (ABES)","topic":"Neuroblastoma Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"Computational biology; Neuroblastoma; Tumor heterogeneity; Computer science; Bioinformatics; Biology; Medicine; Cancer research; Internal medicine; Genetics; Cancer; Cell culture","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":[0.0009732503,0.0004382477,0.0005950567,0.001906173,0.000719809,0.002029053,0.0003895634,0.0008234539,0.002892437],"category_scores_gemma":[0.001781269,0.000279707,0.0007427881,0.001285209,0.0003474649,0.0006564116,0.0005765191,0.0007021861,0.001156899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006607619,"about_ca_system_score_gemma":0.0005553621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004390206,"about_ca_topic_score_gemma":0.0100566,"domain_scores_codex":[0.9995327,0.00005649411,0.00002107368,0.0002157564,0.0001249218,0.00004909094],"domain_scores_gemma":[0.9992906,0.0003998319,0.00009042131,0.00005906252,0.0001150102,0.00004513244],"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":[0.0004757668,0.00005617617,0.09210924,0.0008364405,0.0006243517,0.001911736,0.001173332,0.01140901,0.7663202,0.003531164,0.003294996,0.1182576],"study_design_scores_gemma":[0.00006831856,0.0002150732,0.5403542,0.0002583886,0.0009010394,0.00743123,0.001640467,0.1973957,0.1650291,0.01118595,0.07535034,0.0001700795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8040795,0.007245599,0.1694233,0.0008256048,0.0001005798,0.0000648877,0.01010446,0.002564708,0.005591393],"genre_scores_gemma":[0.8580846,0.002369999,0.1179434,0.0004641507,0.00006563901,0.000120402,0.01548034,0.0009545097,0.004516867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004390206,"threshold_uncertainty_score":0.009676158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008085107933847717,"score_gpt":0.2989502963955616,"score_spread":0.2908651884617139,"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."}}