{"id":"W1867260020","doi":"10.1002/2015gl065142","title":"Variations in grain size and viscosity based on vacancy diffusion in minerals, seismic tomography, and geodynamically inferred mantle rheology","year":2015,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"High-pressure geophysics and materials","field":"Earth and Planetary Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mantle (geology); Geology; Grain size; Rheology; Viscosity; Seismic tomography; Arrhenius equation; Diffusion creep; Mineralogy; Geophysics; Thermodynamics; Materials science; Grain boundary; Physics; Microstructure; Activation energy; Chemistry; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002406484,0.0001820193,0.0001526453,0.001070611,0.0001141593,0.0005596221,0.0002337377,0.0002173698,0.0004549065],"category_scores_gemma":[0.001603998,0.0002338946,0.0001491556,0.0004537327,0.0003377971,0.0006497998,0.0003427854,0.0001950308,0.00007848196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002480884,"about_ca_system_score_gemma":0.00007839451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00231718,"about_ca_topic_score_gemma":0.002807574,"domain_scores_codex":[0.9999429,0.000009941525,0.000003784203,0.00001898909,0.00001636708,0.000007969406],"domain_scores_gemma":[0.9994684,0.0002359719,0.0001688667,0.0000441075,0.00004524599,0.00003742005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005813015,0.00006382123,0.4037458,0.00007447396,0.0001373395,0.0002651556,0.0002583711,0.03535507,0.5348967,0.001600817,0.0001685312,0.0228527],"study_design_scores_gemma":[0.00002674754,0.00006658499,0.6859207,0.00001150242,0.00005477686,0.0002372555,0.0001061732,0.2612088,0.05083739,0.001246511,0.000238088,0.00004555962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964347,0.00005842672,0.003088184,0.00001884699,0.000001713712,0.000002314286,0.00008274261,0.00003882468,0.0002742361],"genre_scores_gemma":[0.9992619,0.00001648657,0.0006584114,0.000001795209,0.000001154997,9.211382e-7,0.00003538218,0.000004107716,0.00001972883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00231718,"threshold_uncertainty_score":0.004607379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016296522432442,"score_gpt":0.26829727936258,"score_spread":0.2481343141382555,"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."}}