{"id":"W2159458393","doi":"10.1002/masy.201400202","title":"Effect of Column Type on Polyolefin Fractionation by High‐Temperature Thermal Gradient Interaction Chromatography","year":2015,"lang":"en","type":"article","venue":"Macromolecular Symposia","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Waterloo","funders":"","keywords":"Comonomer; Polyolefin; Fractionation; Materials science; Chromatography; Crystallization; Copolymer; Particle (ecology); Octene; Chemical engineering; Chemistry; Polymer; Composite material; 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":[0.0001587437,0.000277825,0.000300278,0.00008200784,0.00007696342,0.00005132324,0.0002012504,0.0002602221,0.0002845398],"category_scores_gemma":[0.00005461577,0.0002560209,0.0002242818,0.00038234,0.00009497857,0.00009188712,0.00003542884,0.0003223186,0.0000355123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007958176,"about_ca_system_score_gemma":0.00002962899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006291477,"about_ca_topic_score_gemma":0.000001059181,"domain_scores_codex":[0.9985421,0.00008022142,0.0002995341,0.0003655764,0.0004655058,0.0002471144],"domain_scores_gemma":[0.9990585,0.00007521742,0.0001780682,0.0003713692,0.0001254688,0.0001913039],"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":[0.0005630172,0.0002215124,0.00162299,0.0001545955,0.0001935812,0.00002886649,0.00004540296,0.00006950901,0.9934148,0.0004403991,0.002985498,0.000259864],"study_design_scores_gemma":[0.0009703094,0.0006059963,0.0001253042,0.0001098849,0.0001095008,0.00002980013,0.00003655161,0.0001162484,0.9943553,0.00004141632,0.003258883,0.0002408344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989723,0.0003102531,0.00001896521,0.00009475563,0.0001705223,0.00008787857,0.00003982297,0.00009607754,0.009458695],"genre_scores_gemma":[0.9991799,0.00001384384,0.00002567665,0.00008192549,0.00008770708,0.00002082581,0.0003856416,0.00003658421,0.0001679151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00945685,"threshold_uncertainty_score":0.9999892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003893116332772461,"score_gpt":0.229073239619016,"score_spread":0.2251801232862436,"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."}}