{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000934315,0.0001441505,0.0002019781,0.0001236703,0.00008487231,0.00001857979,0.00003125956,0.00009530632,0.0001221443],"category_scores_gemma":[0.00002437835,0.00009886311,0.00002354363,0.0001067526,0.00004441265,0.00003526736,0.00001919047,0.0001198448,0.000001944787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000150672,"about_ca_system_score_gemma":0.00005599038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001288863,"about_ca_topic_score_gemma":0.001043884,"domain_scores_codex":[0.9990329,0.00004572104,0.0001573591,0.0003829771,0.0001457198,0.0002353485],"domain_scores_gemma":[0.9995848,0.00002883188,0.00005352433,0.0001467324,0.00008000691,0.0001061092],"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":[0.001386662,0.0006336331,0.0511282,0.0004054477,0.00005212747,0.00001852053,0.001439373,3.944668e-7,0.9273251,0.002544032,0.000160982,0.01490552],"study_design_scores_gemma":[0.001931954,0.0004078623,0.2593893,0.0002867688,0.0000829259,0.00000177118,0.00006710549,0.0001044836,0.7366933,0.0006650449,0.0002306724,0.0001388816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941546,0.004014021,0.00002029288,0.0002150008,0.0000947899,0.0006049987,0.00002731871,0.00001447162,0.0008544952],"genre_scores_gemma":[0.9902258,0.005555432,0.000400472,0.00007151043,0.00009986084,0.00003215427,0.00001398844,0.00001387648,0.00358694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2082611,"threshold_uncertainty_score":0.4031521,"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."}}