{"id":"W2156306132","doi":"10.1016/j.chemgeo.2006.01.007","title":"An expanded non-Arrhenian model for silicate melt viscosity: A treatment for metaluminous, peraluminous and peralkaline liquids","year":2006,"lang":"en","type":"article","venue":"Chemical Geology","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":135,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Peralkaline rock; Viscosity; Thermodynamics; Silicate; Viscometer; Trachyte; Andesite; Atmospheric temperature range; Mineralogy; Materials science; Chemistry; Geology; Physics; Organic chemistry; Geochemistry; Volcanic rock; Volcano","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001356994,0.000292144,0.0005633191,0.00005735526,0.000161008,0.00002892369,0.0001983413,0.0002341145,0.0003985403],"category_scores_gemma":[0.00004761595,0.0002061285,0.0002312422,0.000101296,0.0002822467,0.000105563,0.00001994292,0.0000840384,0.00001320934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000100154,"about_ca_system_score_gemma":0.00002824357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00218899,"about_ca_topic_score_gemma":0.001087431,"domain_scores_codex":[0.9982472,0.00002734609,0.0003352762,0.0006034468,0.0001005647,0.0006861878],"domain_scores_gemma":[0.9991052,0.0002180096,0.00007244061,0.0002284435,0.00008003809,0.0002958881],"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":[0.003254293,0.002658806,0.4063342,0.0002282132,0.0006084647,0.00002224289,0.001049356,0.01205547,0.5320381,0.001656368,0.001734535,0.03836],"study_design_scores_gemma":[0.001841786,0.001267513,0.008922539,0.00000314384,0.0002691206,0.00004040834,0.00003725338,0.9149276,0.04401058,0.0273813,0.0008275495,0.0004711946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940646,0.0004522164,0.003450498,0.001024281,0.00003773381,0.0004561949,0.0001914823,0.00005946182,0.000263515],"genre_scores_gemma":[0.9854599,0.00003050266,0.01125354,0.0004312826,0.0003087402,0.0001132388,0.001696875,0.000006512406,0.0006994341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9028721,"threshold_uncertainty_score":0.8405675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781000199745293,"score_gpt":0.2386006162673195,"score_spread":0.2207906142698666,"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."}}