{"id":"W1963863106","doi":"10.1021/ma052029z","title":"TEM Imaging of Polymer Multilayer Particles:  Advantages, Limitations, and Artifacts","year":2006,"lang":"en","type":"article","venue":"Macromolecules","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Polymer; Materials science; Polymer science; Nanotechnology; Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002068035,0.0004539969,0.0003760185,0.0008002609,0.000431374,0.001321438,0.0003965707,0.0007414776,0.01075721],"category_scores_gemma":[0.002919273,0.0004179558,0.0001876032,0.0004647862,0.0003575038,0.001597295,0.0005138032,0.001151166,0.003983023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004006256,"about_ca_system_score_gemma":0.0002625055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002631038,"about_ca_topic_score_gemma":0.0007667076,"domain_scores_codex":[0.9988155,0.0002626564,0.00008960139,0.0001644561,0.0006125767,0.00005509474],"domain_scores_gemma":[0.9974951,0.00116449,0.0002050505,0.0002394336,0.0007924646,0.0001036643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000575371,0.00006802418,0.002787379,0.001373026,0.00005696798,0.0005797143,0.0001399028,0.0005188715,0.7199286,0.002798616,0.04968703,0.2214864],"study_design_scores_gemma":[0.00004266347,0.0003799175,0.009419522,0.0002355926,0.00008845759,0.003845266,0.0002200212,0.009167545,0.7440592,0.001673716,0.2307985,0.00006968104],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.3415075,0.1080782,0.3411282,0.03198821,0.02402446,0.0006779048,0.003059853,0.007640276,0.1418953],"genre_scores_gemma":[0.5383961,0.05331843,0.2901203,0.005764281,0.003504519,0.0003202128,0.002576342,0.002550115,0.1034497],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01075721,"threshold_uncertainty_score":0.03598642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113175225695681,"score_gpt":0.2612250440278641,"score_spread":0.249907521458296,"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."}}