{"id":"W4232803185","doi":"10.1137/1.9781611974362.appa","title":"Appendix A: Installation of ADMAT","year":2016,"lang":"en","type":"other","venue":"","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Risk Institute in Financial Services; University of Waterloo","funders":"","keywords":"Appendix; Computer science; Geology; Paleontology","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":[0.00362643,0.0001151062,0.0002525401,0.000684335,0.00002307993,0.00005878467,0.0004858671,0.0001354904,0.3410468],"category_scores_gemma":[0.001038592,0.00006128731,0.00009817672,0.000306387,0.00007057955,0.00007801719,0.00005164766,0.00003175832,0.02037636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002356795,"about_ca_system_score_gemma":0.00009398729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004180084,"about_ca_topic_score_gemma":0.00038869,"domain_scores_codex":[0.9960652,0.0001286336,0.0004990952,0.0003709337,0.002818661,0.0001174613],"domain_scores_gemma":[0.9982882,0.0002011273,0.0006040101,0.0005995363,0.0002608133,0.00004633939],"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":[0.000004238746,0.000008557507,0.0003453451,0.000003144289,0.000008814175,9.172844e-8,0.00002135701,9.134564e-7,0.0004781079,0.003400704,0.9552768,0.04045194],"study_design_scores_gemma":[0.0002058782,0.00001089919,0.0001104486,0.00005978711,0.000008507845,2.105147e-7,0.00004493045,0.000109715,0.0003825909,0.007490335,0.9914824,0.00009423773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003711071,0.0000838479,0.01127924,0.0001611162,0.001262951,0.0002460731,0.00002359819,0.00005102773,0.986855],"genre_scores_gemma":[0.003923002,0.00000891246,0.0004724477,0.00002399021,0.0001486125,0.000003226726,0.00002322284,0.00004772807,0.9953489],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3206704,"threshold_uncertainty_score":0.9803864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2530868062795059,"score_gpt":0.4348894646803874,"score_spread":0.1818026584008814,"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."}}