{"id":"W2098286864","doi":"10.1002/mren.200900025","title":"Particle Growth During the Polymerisation of Olefins on Supported Catalysts, 1 – Nascent Polymer Structures","year":2009,"lang":"en","type":"article","venue":"Macromolecular Reaction Engineering","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Queen's University","funders":"","keywords":"Polymer; Polymerization; Catalysis; Particle (ecology); Materials science; Process (computing); Polymer science; Chemical engineering; Product (mathematics); Particle size; Polymer chemistry; Chemistry; Organic chemistry; Computer science; Composite material; Mathematics; Engineering","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":[0.00003589728,0.0001609072,0.0001410054,0.00003905649,0.00008968539,0.00002137464,0.0001098115,0.00006545628,0.0001016063],"category_scores_gemma":[0.00002580389,0.0001422082,0.00008492166,0.0001241088,0.00001645041,0.00009472617,0.0000123841,0.0001295757,0.000005798006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004582531,"about_ca_system_score_gemma":0.000009049093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003926613,"about_ca_topic_score_gemma":0.00000127499,"domain_scores_codex":[0.9991362,0.000009320067,0.0002330277,0.0001964459,0.0002186169,0.0002064088],"domain_scores_gemma":[0.9994811,0.00001603906,0.000133037,0.0002891498,0.00002691297,0.00005371245],"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":[0.00003039778,0.00003787393,0.0001570346,0.00002804308,0.00002925677,0.000005975916,0.0001793762,0.000287788,0.9960907,0.0004137227,0.000002646819,0.002737193],"study_design_scores_gemma":[0.0002198131,0.00001507073,0.01688818,0.00003467167,0.00002527153,0.0000192493,0.00005279097,0.0008559812,0.9815958,0.00001453974,0.0001348618,0.0001438403],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971566,0.0002982195,0.001854932,0.0001655606,0.00007717961,0.00004987069,0.000009686207,0.0001070039,0.0002808994],"genre_scores_gemma":[0.9996327,0.00003624728,0.00002871439,0.00004505598,0.00008038324,0.000005760462,0.00005129689,0.00002472674,0.00009509933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01673114,"threshold_uncertainty_score":0.5799083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00358468459792934,"score_gpt":0.1905116340389182,"score_spread":0.1869269494409888,"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."}}