{"id":"W2739205534","doi":"","title":"Pokemon represses art in promoting cellular transformation","year":2005,"lang":"en","type":"article","venue":"Cancer Biology & Therapy","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"Transformation (genetics); Cell biology; Biology; Cancer research; Computational biology; Computer science; Genetics; Gene","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":[0.001180059,0.000196478,0.0002389257,0.0003304471,0.001186076,0.002198192,0.0003543816,0.001070365,0.006622843],"category_scores_gemma":[0.001757284,0.0001922218,0.0003560435,0.000185985,0.002757792,0.00114016,0.001696895,0.00181789,0.0006527002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005970445,"about_ca_system_score_gemma":0.0007442676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002570035,"about_ca_topic_score_gemma":0.0005358416,"domain_scores_codex":[0.9993662,0.0002088116,0.00001995567,0.00009416087,0.0001582418,0.0001526062],"domain_scores_gemma":[0.9989145,0.0005020091,0.0001383285,0.0002090383,0.00007696394,0.000159242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001758125,0.0004686834,0.003425449,0.0005221869,0.00007251959,0.0009864663,0.002735692,0.0008017382,0.3577567,0.5622134,0.00384928,0.06540971],"study_design_scores_gemma":[0.0002973925,0.001330291,0.01613572,0.0002527577,0.0001251554,0.002804528,0.005798357,0.003778354,0.4691914,0.254306,0.245897,0.00008304484],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7284446,0.005782686,0.01974787,0.01298608,0.001148519,0.0001099365,0.000216027,0.0002113202,0.231353],"genre_scores_gemma":[0.9817223,0.0006645671,0.001466155,0.0006569481,0.00004404498,0.00003106947,0.00003610238,0.00002667675,0.01535227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006622843,"threshold_uncertainty_score":0.02215564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03159726517852877,"score_gpt":0.3424320613862857,"score_spread":0.3108347962077569,"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."}}