{"id":"W2992595197","doi":"10.1038/s41419-019-2166-0","title":"11th Tuscany Retreat on Cancer Research and Apoptosis: Genetic profiling, resistance mechanisms and novel treatment concepts in cancer and neurodegeneration","year":2019,"lang":"en","type":"article","venue":"Cell Death and Disease","topic":"Cancer, Stress, Anesthesia, and Immune Response","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Hospital; Princess Margaret Cancer Centre; University of British Columbia; University Health Network; University of Toronto; Sunnybrook Health Science Centre","funders":"Medizinische Universität Wien; Tel Aviv University; Universität Wien","keywords":"Neurodegeneration; Apoptosis; Biology; Profiling (computer programming); Cancer; Cancer research; Bioinformatics; Neuroscience; Computational biology; Medicine; Genetics; Disease; Pathology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001094163,0.0002055998,0.0002832139,0.000138034,0.0001575994,0.00004956357,0.00003087471,0.00006763045,0.00002278708],"category_scores_gemma":[0.00003394802,0.0001677958,0.0000245287,0.0001110954,0.0001199806,0.0000614783,0.00003407926,0.0001126053,0.000001185323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001278172,"about_ca_system_score_gemma":0.0003208198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008193737,"about_ca_topic_score_gemma":0.0002822186,"domain_scores_codex":[0.9986756,0.00006853153,0.0001729741,0.0005613771,0.0002160712,0.0003054197],"domain_scores_gemma":[0.9991268,0.00007926045,0.00004483875,0.0002410796,0.00006698506,0.0004410695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02534322,0.001356862,0.7264071,0.002569247,0.00009510855,0.0001737393,0.00193362,0.00008587441,0.2122583,0.002021237,0.0005312247,0.02722452],"study_design_scores_gemma":[0.01783786,0.002743202,0.8844084,0.001487255,0.0003791362,0.00001989868,0.0005652467,0.002295463,0.08413378,0.0005358785,0.004907708,0.00068613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.952965,0.04519462,0.000007080433,0.0005570619,0.0000667627,0.000942433,0.00006025059,0.0000141377,0.0001926612],"genre_scores_gemma":[0.966096,0.02814411,0.0001244468,0.000223273,0.0001067874,0.0003150572,0.00001638824,0.00002583103,0.004948128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1580014,"threshold_uncertainty_score":0.6842515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0336249289143935,"score_gpt":0.3228872385436641,"score_spread":0.2892623096292706,"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."}}