{"id":"W2618126734","doi":"10.1002/mawe.201700006","title":"Results on the measurement of the soret coefficients for ternary hydrocarbons mixtures on board ISS","year":2017,"lang":"en","type":"article","venue":"Materialwissenschaft und Werkstofftechnik","topic":"Field-Flow Fractionation Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; State Space Corporation ROSCOSMOS","keywords":"Ternary operation; Thermophoresis; Dodecane; Diffusion; Analytical Chemistry (journal); Hydrocarbon mixtures; Hydrocarbon; Thermodynamics; Binary number; Interferometry; Chemistry; Thermal; Materials science; Chromatography; Optics; Organic chemistry; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000598523,0.0002677843,0.0002381578,0.0000967295,0.0004271798,0.0001364754,0.0008762392,0.0002001853,0.00001450306],"category_scores_gemma":[0.0004378556,0.0001718029,0.000147681,0.00006043076,0.0001398695,0.0000777513,0.0001019641,0.0002259108,0.00001444828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001231245,"about_ca_system_score_gemma":0.00002017206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006270789,"about_ca_topic_score_gemma":0.00001714589,"domain_scores_codex":[0.9984354,0.00004108281,0.0004014321,0.0002729627,0.0005738841,0.0002752336],"domain_scores_gemma":[0.9980316,0.0001294758,0.0002458662,0.001454664,0.00009676837,0.0000415922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008629801,0.000211057,0.00004067748,0.000143307,0.0002042867,0.000004878105,0.0001926437,0.001523242,0.8688124,0.01289234,0.1122862,0.002825915],"study_design_scores_gemma":[0.0004605751,0.0001675175,0.000834649,0.0002217634,0.00003493053,0.000002009506,0.00001556848,0.002095261,0.9582928,0.002230651,0.03542081,0.0002233962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8798487,0.0001833332,0.01120563,0.01803239,0.01169535,0.006483136,0.0009458179,0.002573585,0.06903213],"genre_scores_gemma":[0.998696,0.00001436805,0.000426515,0.0002028359,0.0001863135,0.0001884585,0.000008234982,0.00006185359,0.0002154153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1188474,"threshold_uncertainty_score":0.7005918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02194467587907204,"score_gpt":0.25769121167107,"score_spread":0.2357465357919979,"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."}}