{"id":"W2088373593","doi":"10.1007/bf02870976","title":"3D numerical simulations of thermodiffusion experiment for a ternary mixture on-board foton","year":2005,"lang":"en","type":"article","venue":"Microgravity Science and Technology","topic":"Field-Flow Fractionation Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Canadian Space Agency","keywords":"Thermophoresis; Diffusion; Materials science; Ternary operation; Mass flux; Thermodynamics; Mass transport; On board; Mechanics; Thermal; Physics; Aerospace engineering; Computer science","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":[0.0001988029,0.0003871193,0.0006184231,0.0003212292,0.000848145,0.0006643691,0.0006456698,0.001324492,0.004316933],"category_scores_gemma":[0.0008420504,0.0003577769,0.0003789745,0.0004415719,0.0006506476,0.000546239,0.0003741255,0.0004504702,0.0001972164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001169643,"about_ca_system_score_gemma":0.0009612999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01526705,"about_ca_topic_score_gemma":0.009351172,"domain_scores_codex":[0.9999092,0.00001034718,0.00000413407,0.00001692252,0.0000300228,0.00002933115],"domain_scores_gemma":[0.9995949,0.0002234356,0.00003716763,0.00002884873,0.0000755389,0.00004013425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001827809,0.00005655991,0.001553777,0.00004527098,0.00001179578,0.0001165666,0.00009568404,0.9853404,0.008689097,0.001930632,0.0002837927,0.001693639],"study_design_scores_gemma":[0.00002380096,0.00003104941,0.0004901246,0.000003082563,0.000004783728,0.000009029432,0.00002870544,0.9958751,0.003100449,0.0001856686,0.0002401534,0.000008022676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806867,0.0001310308,0.007062634,0.0002454307,0.0000497157,0.00002349732,0.0003701921,0.0001320272,0.01129868],"genre_scores_gemma":[0.9948574,0.00004535318,0.002985255,0.00002534416,0.000004366423,0.00002475659,0.0001128987,0.00002203594,0.001922464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01526705,"threshold_uncertainty_score":0.03035635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007179353698512462,"score_gpt":0.2601601311617903,"score_spread":0.2529807774632778,"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."}}