{"id":"W2979555137","doi":"10.13130/manzoni-elena-franca-maria_phd2019-02-28","title":"MOLECULAR AND CELLULAR MECHANISMS REGULATING EPIGENETIC CELL CONVERSION","year":2019,"lang":"en","type":"dissertation","venue":"Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Carraresi Foundation; European Foundation for the Study of Diabetes; Università degli Studi di Milano","keywords":"Epigenetics; Computational biology; Biology; Cell biology; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002914435,0.000627197,0.0006388937,0.0006353733,0.0003633581,0.00007686303,0.0007145089,0.0004203079,0.0002389198],"category_scores_gemma":[0.00005422728,0.0007460511,0.0002198786,0.0004878365,0.0001459203,0.0001194522,0.0003702598,0.0008757096,0.0003435025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002721354,"about_ca_system_score_gemma":0.0001625727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007039543,"about_ca_topic_score_gemma":0.00003309278,"domain_scores_codex":[0.9967062,0.0001173749,0.0003992915,0.0008847825,0.001089453,0.0008029327],"domain_scores_gemma":[0.9983016,0.0004086572,0.0001498242,0.0006069034,0.0001646387,0.0003684181],"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":[0.0005682213,0.0005706694,0.00239412,0.01557118,0.002566229,0.002206866,0.009079882,0.02013028,0.8839672,0.02874534,0.007734612,0.02646543],"study_design_scores_gemma":[0.01552198,0.001894956,0.05230312,0.0065474,0.004408643,0.0001432522,0.03287221,0.3603481,0.4487164,0.01248604,0.05009368,0.01466415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8648553,0.004621268,0.01042897,0.00004950096,0.001177673,0.0009189473,0.0001137734,0.0002984924,0.117536],"genre_scores_gemma":[0.9808816,0.001002742,0.002938272,0.00002784457,0.0000772334,0.00001432219,0.001295902,0.000164461,0.01359758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4352507,"threshold_uncertainty_score":0.999499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009516697261467817,"score_gpt":0.2150704107048031,"score_spread":0.2055537134433353,"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."}}