{"id":"W1573123913","doi":"10.3390/chromatography2030392","title":"Adverse-Mode FFF: Multi-Force Ideal Retention Theory","year":2015,"lang":"en","type":"article","venue":"Chromatography","topic":"Field-Flow Fractionation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Field flow fractionation; Drop (telecommunication); Ideal (ethics); Mode (computer interface); Particle size; Chemistry; Particle (ecology); Fractionation; Function (biology); Elution; Mechanics; Chromatography; Physics; Computer science; Geology","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":[0.000215803,0.0001413528,0.0001220612,0.0002777329,0.00004449176,0.00001990201,0.0001344255,0.0001394083,0.00006719527],"category_scores_gemma":[0.00003741855,0.0001503559,0.0001225685,0.0003224353,0.00004358369,0.0003023411,0.00001921226,0.0001613962,0.00009006694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000506033,"about_ca_system_score_gemma":0.00001358026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000018133,"about_ca_topic_score_gemma":0.000008986817,"domain_scores_codex":[0.9992365,0.0000335759,0.0001982576,0.0001543828,0.0001943683,0.0001829224],"domain_scores_gemma":[0.9995036,0.00003262373,0.0000371503,0.0002452382,0.00007639022,0.0001049625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002667794,0.0007301063,0.04785265,0.00116545,0.001470336,0.0001320889,0.007099384,0.0395707,0.2181552,0.1668409,0.4650496,0.0516668],"study_design_scores_gemma":[0.007375135,0.0004618875,0.06622375,0.0005114693,0.000265207,0.0002001291,0.00311567,0.3004307,0.3744364,0.09882353,0.1444571,0.003699016],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4263504,0.001094114,0.5069476,0.00008026954,0.001773511,0.0005902037,0.00003117161,0.007005041,0.05612772],"genre_scores_gemma":[0.9862815,0.0000511481,0.01320903,0.00006571322,0.00007836429,0.00005391944,0.00003693898,0.00004049819,0.0001829302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.559931,"threshold_uncertainty_score":0.6131335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058824739085242,"score_gpt":0.2551578202580985,"score_spread":0.2345695728672461,"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."}}