{"id":"W6931944328","doi":"10.5683/sp3/zs7hou","title":"Taming the Tiger: Interpreting the DLI License","year":2003,"lang":"en","type":"dataset","venue":"Borealis","topic":"Electrolyte and hormonal disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Statistics Canada","funders":"","keywords":"License; Presentation (obstetrics); Key (lock); Administration (probate law); Authorization","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":[0.0004263792,0.0002639488,0.000308489,0.00006300488,0.0002401134,0.00005891098,0.0003696903,0.0002006331,0.000169617],"category_scores_gemma":[0.0002988387,0.0001317551,0.0002038251,0.0001555148,0.0001400425,0.00002621289,0.00007004645,0.0008488957,0.0000548483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005282928,"about_ca_system_score_gemma":0.0001536022,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01097475,"about_ca_topic_score_gemma":0.002518289,"domain_scores_codex":[0.9986112,0.000119757,0.0002738256,0.0002614081,0.0003648741,0.0003690101],"domain_scores_gemma":[0.9985601,0.0002554498,0.0001539324,0.0008899585,0.00006736653,0.0000732428],"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":[0.00005378689,0.00003220184,0.00000655085,0.00004376958,0.0001302147,0.00002786684,0.0002124075,2.428106e-7,0.00003489575,0.00006584935,0.9969339,0.002458359],"study_design_scores_gemma":[0.0002319611,0.0001103082,0.000377732,0.0001446152,0.0003647177,0.00006419469,0.000313302,0.00001178044,0.00002756407,0.00006007774,0.9981446,0.0001491325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007017391,0.002580919,0.000005829476,0.00546031,0.00007054121,0.0004492646,0.9688057,0.0000316058,0.02252568],"genre_scores_gemma":[0.0002128112,0.002161841,0.000009139049,0.01357614,0.0003319781,0.00005328886,0.9829141,0.0000318879,0.0007087929],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02181689,"threshold_uncertainty_score":0.9956113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115167731784794,"score_gpt":0.2698519363705432,"score_spread":0.2587002590526952,"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."}}