{"id":"W3011852721","doi":"10.1016/j.sab.2020.105823","title":"Laser-induced breakdown spectroscopy enhancement of glass by few-layer graphene coating","year":2020,"lang":"en","type":"article","venue":"Spectrochimica Acta Part B Atomic Spectroscopy","topic":"Laser-induced spectroscopy and plasma","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Universidad Autónoma de la Ciudad de México; Universidad Nacional Autónoma de México; Consejo Nacional de Ciencia y Tecnología","keywords":"Laser-induced breakdown spectroscopy; Graphene; Materials science; Spectroscopy; Laser; Optoelectronics; Coating; Layer (electronics); Absorption (acoustics); Optics; Composite material; Nanotechnology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0003619193,0.001369037,0.001712428,0.0002883649,0.0003220656,0.0001926746,0.001253498,0.0004766379,0.003436798],"category_scores_gemma":[0.00008509154,0.00144936,0.0005562018,0.001294967,0.0002023701,0.000530501,0.0001992678,0.00149049,0.000833671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006296815,"about_ca_system_score_gemma":0.000237028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006196789,"about_ca_topic_score_gemma":0.00005235699,"domain_scores_codex":[0.9934942,0.0001672304,0.001684236,0.001464803,0.001042842,0.002146747],"domain_scores_gemma":[0.9971019,0.0002315669,0.0005122086,0.001146931,0.0001096285,0.0008977515],"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":[0.0003037144,0.0002290652,0.000212111,0.0001586688,0.000394188,0.00001916924,0.0004718413,0.00003757265,0.9392738,0.0005321933,0.05829373,0.00007396548],"study_design_scores_gemma":[0.002194565,0.0009578558,0.00005088048,0.0001181695,0.000194326,0.00002758047,0.0001694527,0.008897739,0.976131,0.0004459719,0.009492779,0.001319712],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706307,0.0002464169,0.003911793,0.001462321,0.001300974,0.001069459,0.0003877576,0.001240625,0.01974997],"genre_scores_gemma":[0.9897646,0.0007555737,0.006817709,0.000719355,0.001024071,0.0001168769,0.0002747405,0.0003147526,0.0002123368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04880095,"threshold_uncertainty_score":0.9999443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493358284716687,"score_gpt":0.2337135435466322,"score_spread":0.2187799606994653,"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."}}