{"id":"W2253074285","doi":"10.1016/j.tsf.2016.01.057","title":"Plasma polymers deposited in atmospheric pressure dielectric barrier discharges: Influence of process parameters on film properties","year":2016,"lang":"en","type":"article","venue":"Thin Solid Films","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Elastic recoil detection; X-ray photoelectron spectroscopy; Analytical Chemistry (journal); Dielectric barrier discharge; Chemical vapor deposition; Fourier transform infrared spectroscopy; Hydrogen; Atmospheric pressure; Carbon film; Deposition (geology); Carbon fibers; Argon; Scanning electron microscope; Polymer; Dielectric; Materials science; Chemistry; Thin film; Chemical engineering; Composite material; Nanotechnology; Organic chemistry; Optoelectronics","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":[0.00009146227,0.0001884551,0.0003283672,0.00005139046,0.00004633867,0.00001103962,0.0001755031,0.0001300671,0.00007609837],"category_scores_gemma":[0.0004622626,0.0001148414,0.0000530729,0.0004733649,0.000133865,0.0001212804,0.00002824753,0.0001646455,0.00003904013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002773356,"about_ca_system_score_gemma":0.0001229125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009846277,"about_ca_topic_score_gemma":0.00001159581,"domain_scores_codex":[0.9987322,0.00002728057,0.0003556634,0.0002940947,0.0002791072,0.0003116509],"domain_scores_gemma":[0.9991129,0.0001718883,0.0001365782,0.0003556818,0.00009382774,0.000129144],"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":[0.003473628,0.002507015,0.3102376,0.001535569,0.0005598078,0.0001010259,0.0072201,0.03588839,0.6228574,0.001294361,0.003812885,0.01051225],"study_design_scores_gemma":[0.003224772,0.001029294,0.07513117,0.001770023,0.000205683,0.00003643401,0.0003604994,0.03220714,0.8849444,0.0001251215,0.0004896412,0.0004758165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973401,0.0002723777,0.00004292787,0.0005478798,0.00003233134,0.000597935,0.00003147817,0.00005883875,0.001076153],"genre_scores_gemma":[0.9976244,0.0001287278,0.0006565925,0.0002917199,0.00001287865,0.000198243,0.000007246511,0.00002646003,0.001053748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.262087,"threshold_uncertainty_score":0.4683096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073707835126354,"score_gpt":0.2466771346900091,"score_spread":0.2359400563387456,"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."}}