{"id":"W1961895982","doi":"10.1002/ppap.201500115","title":"Innovative and Established Strategies for the Surface Analysis of Nitrogen and Oxygen‐Rich Plasma Polymer Films by XPS: An Introductory Guide","year":2015,"lang":"en","type":"article","venue":"Plasma Processes and Polymers","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"X-ray photoelectron spectroscopy; Derivatization; Polymer; Oxygen; Analytical Chemistry (journal); Nitrogen; Materials science; Chemistry; Chemical engineering; Environmental chemistry; Organic chemistry; High-performance liquid chromatography; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004677027,0.0002376295,0.0004027091,0.0001440872,0.0001755351,0.0002536513,0.0002143662,0.00008872304,0.00004518157],"category_scores_gemma":[0.0001247358,0.0001682808,0.00002312636,0.0008949277,0.0004072775,0.0006105152,0.00006770342,0.00009328742,3.032306e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001480024,"about_ca_system_score_gemma":0.000295124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007707622,"about_ca_topic_score_gemma":0.000335444,"domain_scores_codex":[0.9986191,0.00005335478,0.0003216901,0.0004467449,0.0002148478,0.0003442953],"domain_scores_gemma":[0.9988616,0.0002746541,0.0002159144,0.0002101968,0.0003084238,0.0001292416],"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":[0.0005371409,0.00009573682,0.004434178,0.0002003504,0.0004440863,8.390855e-7,0.004800977,0.00004416727,0.9789278,0.003037723,0.006406343,0.001070642],"study_design_scores_gemma":[0.0004830474,0.0005463714,0.00009933783,0.00001232533,0.0003719782,0.000006663328,0.008390876,0.001452557,0.9864868,0.0004227886,0.001461004,0.0002662752],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891496,0.0088388,0.0006885324,0.0003809241,0.00006659635,0.0002686059,0.0002127627,0.00006839414,0.0003258348],"genre_scores_gemma":[0.9964654,0.0005837791,0.002335876,0.0001364354,0.00003382401,0.00003980329,0.00004996765,0.00002212104,0.0003328074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008255021,"threshold_uncertainty_score":0.686229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546472897274245,"score_gpt":0.281244140149119,"score_spread":0.2657794111763765,"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."}}