{"id":"W1976669444","doi":"10.1117/12.2038423","title":"Laser micromachining of oxygen reduced graphene-oxide films","year":2014,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Laser-Ablation Synthesis of Nanoparticles","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Western University","funders":"","keywords":"Graphene; Materials science; Surface micromachining; Oxide; Oxygen; Laser; Optoelectronics; Nanotechnology; Metallurgy; Optics; Fabrication; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007662798,0.0003604177,0.0005396603,0.0001586852,0.00006557684,0.00007627234,0.0009353677,0.0002029259,0.00002578873],"category_scores_gemma":[0.000618071,0.0003217846,0.0006347303,0.0003789871,0.0002006853,0.0005411095,0.0001269104,0.0002615748,0.000003823088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000805598,"about_ca_system_score_gemma":0.00001790655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009252739,"about_ca_topic_score_gemma":2.131432e-7,"domain_scores_codex":[0.9976395,3.122919e-8,0.000930568,0.0003393799,0.000653347,0.0004371469],"domain_scores_gemma":[0.9981735,0.0002776037,0.0003471333,0.0000962951,0.0009603695,0.0001450987],"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":[0.00003561728,0.0000752605,0.0005357161,0.0004192366,0.0004329462,3.831784e-8,0.0001558568,0.002172248,0.9137802,0.07918914,0.002861495,0.0003423173],"study_design_scores_gemma":[0.0007566683,0.0001137606,0.002393295,0.0002821697,0.0001318356,0.00000697474,0.0004237165,0.08858854,0.9046395,0.0006983713,0.001626062,0.0003390924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959747,0.0000705702,0.00007843714,0.0004969263,0.0002136561,0.0003562447,0.00004529609,0.0001984955,0.00256573],"genre_scores_gemma":[0.8917211,0.00004669541,0.1077992,0.00004365656,0.0001543932,0.00007741177,0.000006152132,0.00009000747,0.00006141104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1077208,"threshold_uncertainty_score":0.9999234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006689059731024,"score_gpt":0.2126676129273985,"score_spread":0.2026007223300882,"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."}}