{"id":"W1978977011","doi":"10.1038/cdd.2011.186","title":"7th Tuscany Retreat on Cancer Research: Genetic profiling, resistance mechanism and novel treatment concepts in cancer","year":2011,"lang":"en","type":"article","venue":"Cell Death and Differentiation","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Albert-Ludwigs-Universität Freiburg","keywords":"Cancer; Profiling (computer programming); Mechanism (biology); Computational biology; Biology; Cancer research; Genetics; Computer science","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":[0.01177843,0.001602669,0.002190474,0.003346239,0.003988204,0.007586376,0.003131601,0.01992027,0.01620867],"category_scores_gemma":[0.009375041,0.0008188616,0.001671179,0.001328084,0.006237519,0.004570566,0.006354547,0.01744833,0.004732763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01022676,"about_ca_system_score_gemma":0.007201547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008078272,"about_ca_topic_score_gemma":0.03684294,"domain_scores_codex":[0.9942345,0.001168538,0.0004158855,0.0007874569,0.001917253,0.001476459],"domain_scores_gemma":[0.9869113,0.003702723,0.0005726374,0.0007837244,0.003618283,0.004411308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003281497,0.000108306,0.0005294013,0.0003771031,0.00004682874,0.0004518035,0.0001770546,0.0001424896,0.001206718,0.005201048,0.9133044,0.07812679],"study_design_scores_gemma":[0.00002959821,0.0001257048,0.001272243,0.0002974089,0.00003243698,0.0003553628,0.0001338553,0.0001202964,0.0007853751,0.001871535,0.9949514,0.00002472344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002869114,0.1546018,0.001284463,0.5611987,0.2707848,0.0000485381,0.0001828351,0.0001835451,0.008846299],"genre_scores_gemma":[0.04020291,0.1229251,0.003980844,0.3074592,0.317338,0.0001970579,0.0005330991,0.0005073626,0.2068564],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01992027,"threshold_uncertainty_score":0.07420063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09770229673072822,"score_gpt":0.3273723469664228,"score_spread":0.2296700502356945,"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."}}