{"id":"W3048238152","doi":"10.2172/1645080","title":"Technology Transfer Excellence Award NTXBio","year":2020,"lang":"en","type":"report","venue":"","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Los Alamos National Laboratory; National Nuclear Security Administration; U.S. Department of Energy","keywords":"Excellence; Tuberculosis; Quarter (Canadian coin); National laboratory; Government (linguistics); Population; Mycobacterium tuberculosis; Developing country; Biotechnology; Medicine; Engineering; Political science; Biology; Environmental health; Geography; Engineering physics; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005057123,0.001096655,0.001309869,0.001172234,0.001987597,0.00690494,0.003689619,0.004211219,0.3573125],"category_scores_gemma":[0.006885914,0.0004160251,0.001057308,0.001098432,0.000738158,0.003339607,0.008183492,0.005326617,0.2639502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003446048,"about_ca_system_score_gemma":0.01158573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001599971,"about_ca_topic_score_gemma":0.00233017,"domain_scores_codex":[0.9939681,0.0005040135,0.0002164299,0.0007461332,0.003349329,0.001215831],"domain_scores_gemma":[0.989112,0.0003130043,0.0003389468,0.0005527782,0.003560061,0.006123154],"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":[0.000316443,0.0002526153,0.0005141659,0.0003381857,0.00002654823,0.0004322852,0.000121694,0.0002152792,0.003492188,0.01686638,0.8513408,0.1260834],"study_design_scores_gemma":[0.0000525987,0.000170139,0.0002974817,0.00008819325,0.000008614964,0.0004461708,0.00006024734,0.0002283651,0.0009774712,0.002018165,0.9956402,0.00001243772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006439158,0.01642944,0.01579705,0.0925555,0.093963,0.001321997,0.006726199,0.004747697,0.7620199],"genre_scores_gemma":[0.02009979,0.01151726,0.008933146,0.01568761,0.006141816,0.0009176186,0.01015961,0.001110184,0.9254329],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3573125,"threshold_uncertainty_score":0.9167157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02607167023433836,"score_gpt":0.2827686302343232,"score_spread":0.2566969599999848,"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."}}