{"id":"W2090735812","doi":"10.1063/1.3289732","title":"Structural analysis of silicon carbon nitride films prepared by vapor transport-chemical vapor deposition","year":2010,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Diamond and Carbon-based Materials Research","field":"Materials Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bishop's University; Institut National de la Recherche Scientifique; Université de Sherbrooke","funders":"","keywords":"X-ray photoelectron spectroscopy; Fourier transform infrared spectroscopy; Chemical vapor deposition; Analytical Chemistry (journal); Amorphous solid; Carbon nitride; Silicon; Chemical bond; Materials science; Infrared spectroscopy; Silicon nitride; Carbon fibers; Amorphous carbon; Chemistry; Chemical engineering; Crystallography; Nanotechnology; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0003846817,0.0001856327,0.0006225318,0.0001222316,0.00004288206,0.00005037253,0.0003546716,0.0001253556,0.0002676036],"category_scores_gemma":[0.00001691861,0.0001533519,0.000257035,0.0004203831,0.0001365913,0.0001202957,0.00002653452,0.0002746784,0.000001809394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002925346,"about_ca_system_score_gemma":0.0001348872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009676302,"about_ca_topic_score_gemma":0.00001047698,"domain_scores_codex":[0.9980633,0.00003125782,0.0006980978,0.0002199636,0.0006974331,0.0002900062],"domain_scores_gemma":[0.9986181,0.00008917773,0.0006212745,0.000271277,0.0002257128,0.0001744886],"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":[0.0005588658,0.0001143171,0.0002396853,0.00004178603,0.0001636861,0.000007575158,0.0001961242,0.002276449,0.9957619,0.000114214,0.00007227055,0.0004530883],"study_design_scores_gemma":[0.0005798289,0.00007717073,0.0004718613,0.0000110603,0.0005602285,0.000004502275,0.00005531784,0.003362185,0.9939174,0.0007956488,0.000009672646,0.0001551127],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985657,0.00002152774,0.00005340109,0.000008341241,0.0002692584,0.0001303185,0.000145881,0.0000153668,0.0007902079],"genre_scores_gemma":[0.9989993,0.000005964715,0.0006492456,0.00002381248,0.0002231701,0.000007256661,0.00006450211,0.00001972984,0.000006999194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001844527,"threshold_uncertainty_score":0.625351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007514903964085458,"score_gpt":0.2446316684185948,"score_spread":0.2371167644545094,"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."}}