{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002051449,0.001380969,0.0008708863,0.002730136,0.0009298725,0.002206076,0.003079002,0.001062113,0.605748],"category_scores_gemma":[0.01753413,0.001150096,0.0008008074,0.003609131,0.0004363556,0.002578988,0.001947955,0.001749731,0.4507124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214805,"about_ca_system_score_gemma":0.001529168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005098541,"about_ca_topic_score_gemma":0.004507132,"domain_scores_codex":[0.9983069,0.0003780787,0.0001860776,0.0002955266,0.0006975977,0.0001357952],"domain_scores_gemma":[0.9919285,0.002828511,0.0003377231,0.001739722,0.002814451,0.0003512441],"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":[0.0001469864,0.00005203824,0.0006722489,0.000319581,0.00001224793,0.00005402288,0.0000401004,0.001327634,0.0005565285,0.003369917,0.9529647,0.04048387],"study_design_scores_gemma":[0.000166924,0.00003328301,0.00161239,0.0001226259,0.00001583954,0.0001550298,0.00004898485,0.004150366,0.002429849,0.007737041,0.9834796,0.00004802691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002925187,0.0003886324,0.1462765,0.001192806,0.001002189,0.001079596,0.4473062,0.2016048,0.1982241],"genre_scores_gemma":[0.02711491,0.000578438,0.1609061,0.001496405,0.0005399497,0.002314894,0.5428609,0.1079817,0.1562066],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.394252,"threshold_uncertainty_score":0.5623527,"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."}}