{"id":"W3135186473","doi":"","title":"Small-Angle Neutron Scattering of Blends of Arborescent Polystyrenes","year":2000,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Polymer crystallization and properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Neutron scattering; Small-angle neutron scattering; Polymer chemistry; Polymer science; Materials science; Chemical engineering; Small-angle X-ray scattering; Scattering; Small-angle scattering; Chemistry; Physics; Optics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009091263,0.0001100304,0.0001815283,0.00006875788,0.00004015536,0.0000200484,0.0002229654,0.00004037311,0.001360379],"category_scores_gemma":[0.000006476827,0.00009244366,0.00006059208,0.0001317945,0.0001923969,0.000054399,0.00004304588,0.00001768629,0.00003290157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008929533,"about_ca_system_score_gemma":0.00003995579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002725101,"about_ca_topic_score_gemma":0.00002494675,"domain_scores_codex":[0.9991454,0.00005465041,0.0002959125,0.0001676919,0.0001503629,0.0001859649],"domain_scores_gemma":[0.9995767,0.00001124969,0.00009867737,0.000226049,0.00003746547,0.00004979076],"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":[0.00005027064,0.0000527981,0.000244273,0.00006923385,0.000007854725,0.000002654193,0.0002596923,0.00001750508,0.9934949,0.0003147418,0.00002736318,0.005458688],"study_design_scores_gemma":[0.0001783613,0.00007213809,0.002298278,0.00006353579,0.00001221502,0.000005815356,0.00003979693,0.00004246138,0.9959806,0.00004863826,0.00115482,0.0001033254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961172,0.001380622,0.0001057544,0.0001056405,0.00009062694,0.00006660117,0.00004445083,0.00004287126,0.002046204],"genre_scores_gemma":[0.9989652,0.00006936099,0.000558916,0.00004684131,0.00002599963,0.000004790238,0.000007006884,0.00001386741,0.0003079897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005355363,"threshold_uncertainty_score":0.9995525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01980461127742342,"score_gpt":0.2243687517842091,"score_spread":0.2045641405067857,"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."}}