{"id":"W6931450987","doi":"10.5281/zenodo.5706364","title":"E3DMT version 1 manual","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Reliability and Agreement in Measurement","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Magnetotellurics; Inversion (geology); Software; Data collection","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":[],"category_scores_codex":[0.004683905,0.002896697,0.002379572,0.004505096,0.001660791,0.005963452,0.006503709,0.002632673,0.4276722],"category_scores_gemma":[0.01543726,0.003483386,0.002907224,0.004284095,0.000686683,0.004796726,0.004062664,0.003858876,0.4243393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405772,"about_ca_system_score_gemma":0.002875466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006712922,"about_ca_topic_score_gemma":0.007866384,"domain_scores_codex":[0.9974965,0.0003819377,0.0002845828,0.0005554644,0.001059289,0.0002221873],"domain_scores_gemma":[0.9950414,0.001584051,0.000233177,0.001191629,0.001734445,0.0002153132],"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":[0.0001712068,0.00003180407,0.0004899316,0.0009340763,0.00005575393,0.000107854,0.0001057685,0.0009245958,0.001423589,0.003525925,0.955834,0.0363954],"study_design_scores_gemma":[0.00008499688,0.00001817393,0.0007305977,0.0002555665,0.00004725297,0.0002429744,0.00004946678,0.001973791,0.003242198,0.007547734,0.9857312,0.00007599861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.001570208,0.001332833,0.1245901,0.0009127345,0.0008055496,0.0004847665,0.5523452,0.2693299,0.04862876],"genre_scores_gemma":[0.005502796,0.001179238,0.1055792,0.001283313,0.0002200751,0.001936138,0.6383883,0.1957718,0.05013921],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4276722,"threshold_uncertainty_score":0.8163561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.149031621277986,"score_gpt":0.3391050897836788,"score_spread":0.1900734685056928,"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."}}