{"id":"W7133553855","doi":"10.5281/zenodo.18028548","title":"Mechanism for the Uplift of Gongga Shan in the Southeastern Tibetan Plateau Constrained by 3D Magnetotelluric Data","year":2018,"lang":"","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Magnetotellurics; Plateau (mathematics); Mechanism (biology); Enhanced Data Rates for GSM Evolution; Fault (geology)","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":[],"consensus_categories":[],"category_scores_codex":[0.0006950609,0.0009917548,0.0006447948,0.002825677,0.0006449051,0.001257521,0.001829797,0.00120616,0.02266959],"category_scores_gemma":[0.001689208,0.0004166257,0.001189128,0.003905881,0.0002696555,0.0007444155,0.001127374,0.0008008727,0.017278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000692483,"about_ca_system_score_gemma":0.001538658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05403272,"about_ca_topic_score_gemma":0.09866299,"domain_scores_codex":[0.9996866,0.0000253919,0.00003602964,0.0001394268,0.00004482435,0.00006783305],"domain_scores_gemma":[0.9994174,0.0001061632,0.0001283282,0.0001220869,0.0001383017,0.00008765339],"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":[0.0002763871,0.00008696376,0.1095364,0.001030413,0.0002341604,0.0002259979,0.0001903453,0.004146993,0.001038423,0.00142648,0.8711817,0.0106257],"study_design_scores_gemma":[0.001195991,0.00007598453,0.4274379,0.001265716,0.0003517368,0.0003571198,0.0009524404,0.01735419,0.001917515,0.005304072,0.5435858,0.0002014724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005845751,0.0001192638,0.00013794,0.0001494784,0.00005126158,0.000008845358,0.9926785,0.0003551028,0.000653696],"genre_scores_gemma":[0.01637889,0.0001064606,0.0005038657,0.00003854129,0.00002256716,0.00004914344,0.982047,0.0001046211,0.0007489512],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05403272,"threshold_uncertainty_score":0.1074364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09299002923964397,"score_gpt":0.340430376858681,"score_spread":0.247440347619037,"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."}}