{"id":"W4380627218","doi":"10.1002/cjce.25013","title":"A retrospective look at developments in size exclusion chromatography from the early Hamielec research era to the present day","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Gel permeation chromatography; Size-exclusion chromatography; Detector; Work (physics); Computer science; Polymer; Engineering; Chemistry; Mechanical engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004910396,0.0006859273,0.0003759455,0.007114645,0.00142859,0.004758844,0.0006794028,0.0009986069,0.00253339],"category_scores_gemma":[0.005834437,0.0003829548,0.0002820074,0.00704739,0.002475175,0.003570372,0.001391124,0.002725576,0.001602159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005676829,"about_ca_system_score_gemma":0.004960197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00894888,"about_ca_topic_score_gemma":0.009369096,"domain_scores_codex":[0.9980275,0.0004281748,0.0001752294,0.0002948008,0.000841703,0.0002325093],"domain_scores_gemma":[0.9926016,0.001770229,0.0007219507,0.0003046289,0.003850916,0.0007506348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000464696,0.0002354762,0.00639573,0.004686688,0.00008854291,0.001406802,0.002350881,0.000606784,0.01488909,0.06586786,0.1686639,0.7343436],"study_design_scores_gemma":[0.000002908804,0.00006371668,0.003552867,0.0006071443,0.00001192133,0.0005481797,0.0002874746,0.00006000769,0.004341822,0.0008267323,0.9896626,0.0000346028],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01474972,0.9197481,0.004625176,0.01419642,0.008175295,0.00005890424,0.000305305,0.0001492036,0.03799191],"genre_scores_gemma":[0.05941259,0.8841828,0.008070969,0.01166774,0.008756907,0.00004777546,0.0007625239,0.0001672899,0.02693147],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00894888,"threshold_uncertainty_score":0.04118854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459820777673508,"score_gpt":0.2368515254501764,"score_spread":0.2222533176734413,"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."}}