{"id":"W2084492675","doi":"10.1002/macp.201400367","title":"Effect of Solvent Type on High‐Temperature Thermal Gradient Interaction Chromatography of Polyethylene and Ethylene–1‐Octene Copolymers","year":2014,"lang":"en","type":"article","venue":"Macromolecular Chemistry and Physics","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"King Saud University","keywords":"Comonomer; 1-Octene; Polyethylene; Octene; Ethylene; Copolymer; Chemistry; Crystallization; Chromatography; Solvent; Polymer; Fractionation; Elution; Polymer chemistry; Materials science; Analytical Chemistry (journal); Organic chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001229506,0.0003316619,0.0004687838,0.00001303663,0.00007816827,0.00002082384,0.000143671,0.0002318228,0.0001117228],"category_scores_gemma":[0.00003221836,0.0002954297,0.0002069631,0.0002012624,0.0003310799,0.00004070111,0.00006889288,0.0003193188,7.606235e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001107918,"about_ca_system_score_gemma":0.00001349369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001789741,"about_ca_topic_score_gemma":1.202111e-7,"domain_scores_codex":[0.9987844,0.00004265479,0.0002956151,0.000390924,0.0002476287,0.0002387439],"domain_scores_gemma":[0.9990506,0.0001423979,0.0002130428,0.000380073,0.00006243474,0.000151513],"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":[0.0003863282,0.0001480286,0.0009041321,0.001986011,0.0002181037,0.000006673438,0.00005966317,0.00001819502,0.9932171,0.0002212235,0.00001442624,0.002820146],"study_design_scores_gemma":[0.0008419189,0.0003044389,0.00009420497,0.0002865927,0.0001794271,0.00001591264,0.00003727802,0.0001742672,0.9975106,0.0002077104,0.0000906972,0.0002569289],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964151,0.0004110765,0.00002946836,0.00002370704,0.00003552983,0.00004563719,0.00003580145,0.00003033273,0.002973322],"genre_scores_gemma":[0.9995317,0.00009768745,0.00004855164,0.0000292465,0.0001150952,0.000006711877,0.0001053059,0.00002864364,0.00003703675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004293554,"threshold_uncertainty_score":0.9999498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002769573421064684,"score_gpt":0.2113987907129756,"score_spread":0.2086292172919109,"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."}}