{"id":"W6930001449","doi":"10.5281/zenodo.1010393","title":"Exploration17 Workshop: Uncertainty In 3D Modeling And Inversion","year":2017,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inversion (geology); 3D modeling; Schedule; 3d model; Numerical modeling; Data quality","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005145026,0.0001706114,0.0002151144,0.0003435916,0.0008977462,0.001184264,0.001655779,0.0001525696,0.0004694464],"category_scores_gemma":[0.0002543994,0.0001690984,0.00003070637,0.0002060872,0.00007881778,0.0003244244,0.001523627,0.0002617043,0.001277332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009999749,"about_ca_system_score_gemma":0.000006012102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001474296,"about_ca_topic_score_gemma":0.000009362953,"domain_scores_codex":[0.9984602,0.0002477319,0.0001756517,0.0005389826,0.0003007893,0.0002766986],"domain_scores_gemma":[0.9988205,0.00001367304,0.0001598118,0.0007604428,0.0001285267,0.0001169861],"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":[0.00001960572,0.00005079654,0.000001545646,0.000100066,0.0000310155,0.0000341394,0.0009714239,0.00152364,0.00005167657,0.01213912,0.7653602,0.2197168],"study_design_scores_gemma":[0.0004222778,0.00003990727,0.000004621128,0.00020961,0.000003827269,0.00001505077,0.00008468111,0.1179359,5.707948e-7,0.0005605787,0.8805344,0.0001886009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.000064682,0.0006445873,0.07769036,0.0006017735,0.0002183826,0.0004897224,0.00002890473,0.0008696229,0.919392],"genre_scores_gemma":[0.5403441,0.003936745,0.00597553,0.0007620094,0.001744954,8.245132e-7,0.002141277,0.01259663,0.4324979],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5402794,"threshold_uncertainty_score":0.9998526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0509393620388509,"score_gpt":0.2422479043535985,"score_spread":0.1913085423147476,"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."}}