{"id":"W6958313838","doi":"10.6084/m9.figshare.160.v1","title":"Size distribution of liposomes after sequential and multiple extrusion","year":2011,"lang":"en","type":"other","venue":"Figshare","topic":"Digitalization, Law, and Regulation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Extrusion; Liposome; Distribution (mathematics); Characterization (materials science); Plastics extrusion","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002847766,0.00008900292,0.0001147525,0.00002421487,0.00006001176,0.0000375426,0.00007397751,0.0002436847,0.189975],"category_scores_gemma":[0.0004076119,0.00008221374,0.00004202724,0.00008165605,0.00004418987,0.0001037544,0.00003871927,0.00001041528,0.00002878489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002040081,"about_ca_system_score_gemma":0.00005692727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001821605,"about_ca_topic_score_gemma":0.003842086,"domain_scores_codex":[0.9994319,0.00003899938,0.0001027693,0.0001420859,0.0001785238,0.000105738],"domain_scores_gemma":[0.9996151,0.00003795295,0.0001461968,0.0000898527,0.00006402414,0.0000468811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005959566,0.00001718299,0.0003860205,0.0001420645,0.00001054982,8.902033e-7,0.0005535922,1.906224e-7,0.000002573248,0.0002196448,0.9971403,0.001521058],"study_design_scores_gemma":[0.00009445439,0.00000673938,0.002491448,0.001063654,0.000009379122,1.713186e-7,0.0000368813,0.000004134072,0.00002999503,0.0001225448,0.9960345,0.0001061045],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000384492,0.001156254,0.0000100396,0.00002191285,0.000275981,0.0005272578,0.2659012,0.0001629455,0.7315599],"genre_scores_gemma":[0.1604413,0.0001211321,0.00003623919,0.00001767534,0.0008166062,0.00004794688,0.1576308,0.0001235407,0.6807648],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1899462,"threshold_uncertainty_score":0.8107654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02632905565142459,"score_gpt":0.2607481709500454,"score_spread":0.2344191152986208,"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."}}