{"id":"W2504983777","doi":"10.1021/bk-2012-1120.ch034","title":"Soft X-ray Spectromicroscopy of Protein Interactions with Phase-Segregated Polymer Surfaces","year":2012,"lang":"en","type":"book-chapter","venue":"ACS symposium series","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Advanced Foods and Materials Network; U.S. Department of Energy","keywords":"Polymer; Synchrotron; Materials science; Nanoscopic scale; Photoemission electron microscopy; Polymer substrate; Nanotechnology; Microscopy; Transmission electron microscopy; Substrate (aquarium); Phase (matter); Chemistry; Analytical Chemistry (journal); Electron microscope; Optics; Chromatography; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00009954399,0.0003601935,0.0002382796,0.0005993436,0.0001879298,0.0004657184,0.0003575087,0.0003448698,0.002337134],"category_scores_gemma":[0.00008367858,0.0001970927,0.0001669281,0.0003788868,0.0001597176,0.0003618849,0.000233688,0.0004231133,0.001260806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002036206,"about_ca_system_score_gemma":0.0001143097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001351999,"about_ca_topic_score_gemma":0.0002825252,"domain_scores_codex":[0.9999324,0.000004800163,0.000003052104,0.00001685227,0.00003747537,0.000005421643],"domain_scores_gemma":[0.9999511,0.00001996696,0.000008078578,0.000004603017,0.00001000027,0.000006162902],"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":[0.00001247286,0.000007480959,0.0000720997,0.00009722517,0.000003406546,0.0000450653,0.00001652137,0.0001027434,0.988618,0.0003573066,0.0002477892,0.0104198],"study_design_scores_gemma":[0.000004356412,0.00005730999,0.004611142,0.00002696059,0.00001108452,0.0006237162,0.00005141954,0.002104891,0.9793357,0.0008304148,0.01233193,0.00001109939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7177077,0.06043646,0.1642482,0.001120028,0.0003200365,0.0001326242,0.001611108,0.002174457,0.05224928],"genre_scores_gemma":[0.6897677,0.03899492,0.1594581,0.0006208518,0.0001977894,0.0001620911,0.001621268,0.0004395769,0.1087379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002337134,"threshold_uncertainty_score":0.00781846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008484713729568579,"score_gpt":0.251511444806823,"score_spread":0.2430267310772544,"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."}}