{"id":"W6931107162","doi":"10.5281/zenodo.3921750","title":"LIBER 2020 - Session #3: Securing and Building Trust","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Renal function and acid-base balance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Safeguarding; Session (web analytics); Interoperability; Theme (computing); Presentation (obstetrics); Identity (music)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001666152,0.00009814132,0.0001324887,0.0000612637,0.0007289319,0.0002301238,0.0001520779,0.00003493944,0.006999067],"category_scores_gemma":[0.0004544676,0.00009089266,0.00003289079,0.0003327887,0.00006186785,0.0001516015,0.0003912165,0.0002381695,0.001788491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003957528,"about_ca_system_score_gemma":0.000002821724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002389076,"about_ca_topic_score_gemma":1.481066e-8,"domain_scores_codex":[0.9990447,0.00007774148,0.0001527779,0.0003034207,0.0002296188,0.0001917154],"domain_scores_gemma":[0.9993329,0.00001142703,0.00004907911,0.0001533749,0.000156032,0.0002972046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007160959,0.0001471006,0.0003391023,0.0005291406,0.00008783747,0.0001797534,0.002275426,0.00005245658,0.4742722,0.002563473,0.3712381,0.1475993],"study_design_scores_gemma":[0.0008635904,0.0002322776,0.001939674,0.00008685661,0.00001844802,0.0002045475,0.0002008801,0.001777601,0.01172522,0.00002573522,0.9828138,0.0001113705],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8659121,0.0003797327,0.006069894,0.01528495,0.0001443055,0.0006293629,0.00006545324,0.001524113,0.1099901],"genre_scores_gemma":[0.9960732,0.0001493842,0.0004854542,0.001530081,0.0003213399,1.676381e-8,0.0002208496,0.0005562601,0.0006633533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6115757,"threshold_uncertainty_score":0.9989887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02895765328563587,"score_gpt":0.2518494496971237,"score_spread":0.2228917964114878,"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."}}