{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005530337,0.0003453721,0.0003256683,0.003012259,0.0006847118,0.002086745,0.001331284,0.0007732129,0.01258515],"category_scores_gemma":[0.04402907,0.0002594871,0.0002923161,0.004877773,0.0003836202,0.001570601,0.002149313,0.0008536877,0.009009446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002143443,"about_ca_system_score_gemma":0.002101513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03938039,"about_ca_topic_score_gemma":0.06008588,"domain_scores_codex":[0.9966414,0.001468206,0.0005690256,0.0003673135,0.0007737929,0.0001803401],"domain_scores_gemma":[0.9835052,0.008495199,0.001325337,0.002797828,0.003639944,0.0002364825],"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":[0.000142779,0.00003462354,0.02701883,0.0005097853,0.00002387339,0.0001659264,0.002229019,0.0005959953,0.0003001294,0.003609686,0.923452,0.04191752],"study_design_scores_gemma":[0.00002991832,0.00001739394,0.04976135,0.0005520467,0.00002160799,0.0001135391,0.006699536,0.001555608,0.0009780889,0.003060605,0.9371737,0.0000366185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03028646,0.0003623375,0.005836372,0.005855942,0.0005215363,0.0002260419,0.9189666,0.000897376,0.03704742],"genre_scores_gemma":[0.1046262,0.0004134794,0.01338662,0.001240748,0.0001108461,0.0007004626,0.8649879,0.0005107272,0.01402297],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03938039,"threshold_uncertainty_score":0.07830238,"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."}}