{"id":"W7051580488","doi":"","title":"Vigilant","year":2013,"lang":"en","type":"other","venue":"ThinkTech (Texas Tech University)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; TSG101; Articular cartilage damage; Gestational period; Limiting; Paraphernalia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002241166,0.0002484375,0.0002224662,0.0005050345,0.00004042828,0.00002779646,0.0004948128,0.0003875682,0.001090929],"category_scores_gemma":[0.000005859274,0.0002823389,0.00006721099,0.0003626283,0.00004762064,0.00004146377,0.00008604734,0.0003191303,0.003840704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009801102,"about_ca_system_score_gemma":0.0000202969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009957033,"about_ca_topic_score_gemma":0.00005033256,"domain_scores_codex":[0.9993246,0.000006842877,0.00008215808,0.0002185886,0.0001204514,0.0002474043],"domain_scores_gemma":[0.9993517,0.00003358677,0.00004209249,0.0004505894,0.00001687333,0.0001051346],"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":[3.937874e-7,0.00001870084,0.000006640462,0.00004433442,0.00007035144,0.00003725023,0.000005925159,0.00007084532,0.0001520176,0.03161322,0.9669038,0.001076511],"study_design_scores_gemma":[0.0001260837,0.000007721166,0.00001046059,0.00008172956,0.00004439132,0.000003226913,0.000008965289,0.0007817413,0.001025915,0.0003104444,0.9972755,0.0003237958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002071076,0.0001211692,0.00273072,0.00005717522,0.0001651987,0.0003327658,0.0001550089,0.002890644,0.9933402],"genre_scores_gemma":[0.001765025,0.001374773,0.003635507,0.00002557966,0.0001191796,0.000003236202,0.00008772124,0.0003755474,0.9926134],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03130277,"threshold_uncertainty_score":0.9999629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004220887601960495,"score_gpt":0.1486660047458664,"score_spread":0.1444451171439059,"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."}}