{"id":"W4394518436","doi":"10.6084/m9.figshare.3407977","title":"Multicomponent diffusion in aluminosilicate garnet: coupling effects due to charge compensation","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Magneto-Optical Properties and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aluminosilicate; Compensation (psychology); Diffusion; Charge (physics); Materials science; Coupling (piping); Chemical physics; Mineralogy; Condensed matter physics; Geology; Chemistry; Composite material; Thermodynamics; Physics; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001051728,0.0002954125,0.0002039529,0.0003867073,0.0001617614,0.000285148,0.0002635992,0.0002777668,0.0005838002],"category_scores_gemma":[0.0004487558,0.0002680749,0.0002133922,0.0001772721,0.0002687141,0.000474,0.0003872754,0.0001361547,0.00008582239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005561265,"about_ca_system_score_gemma":0.000180923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002491437,"about_ca_topic_score_gemma":0.002390752,"domain_scores_codex":[0.9999452,0.000005362944,0.000003694664,0.00002036889,0.00001169707,0.00001377605],"domain_scores_gemma":[0.9998987,0.00003559296,0.00002497078,0.000008997113,0.00001810989,0.00001368443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002891872,0.00005254785,0.01337,0.0001178932,0.00004513999,0.000384439,0.0001593822,0.05652392,0.918093,0.001889881,0.00006538451,0.009009322],"study_design_scores_gemma":[0.000118858,0.000287348,0.05550224,0.00001366186,0.00008624387,0.0007583446,0.0001832754,0.6045281,0.3338931,0.003479151,0.001079882,0.00006961791],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9973868,0.00009278613,0.002052775,0.00002279354,0.000002580595,0.000006294857,0.0000119569,0.00003446153,0.0003895549],"genre_scores_gemma":[0.9991794,0.00005084227,0.0005333669,0.000005164161,9.102585e-7,0.000003241641,0.00001046565,0.000005769747,0.0002106674],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.002491437,"threshold_uncertainty_score":0.004953802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941011865530312,"score_gpt":0.2281975215913299,"score_spread":0.2087874029360267,"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."}}