{"id":"W2245420335","doi":"10.1088/0022-3727/48/37/375503","title":"Laser heat treatment of aerosol-jet additive manufactured graphene patterns","year":2015,"lang":"en","type":"article","venue":"Journal of Physics D Applied Physics","topic":"Thermal Radiation and Cooling Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Graphene; Materials science; Laser power scaling; Laser; Analytical Chemistry (journal); Nanotechnology; Optics; Chemistry; Chromatography; Physics","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":[0.00004053635,0.000203061,0.0003760414,0.00003869015,0.00002080224,0.00001683529,0.000170701,0.00006741283,0.00000807766],"category_scores_gemma":[0.000002356785,0.0001646103,0.0001668179,0.0001451394,0.00003941408,0.0001062072,0.00001590248,0.0001463835,0.00001037169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001139318,"about_ca_system_score_gemma":0.00003293578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004275118,"about_ca_topic_score_gemma":0.00000126923,"domain_scores_codex":[0.9991972,0.00001009122,0.0002915154,0.00008414291,0.0002430024,0.0001740821],"domain_scores_gemma":[0.9994314,0.000037556,0.0001553391,0.0001847794,0.0001006174,0.00009027084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001920406,0.0009966386,0.0003757277,0.0000657711,0.001119265,0.00002058752,0.0034469,0.6797257,0.04622438,0.008286209,0.004122496,0.2554243],"study_design_scores_gemma":[0.001348425,0.0002580836,0.0002097968,0.00002467496,0.00008311803,0.000003248231,0.0003918182,0.00292768,0.9824913,0.01151188,0.0005503324,0.0001996384],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605387,0.0001135025,0.03742129,0.00002339814,0.0003319931,0.000139856,0.0001212684,0.0001363076,0.00117362],"genre_scores_gemma":[0.9986703,0.0001429247,0.0006596157,0.00001984519,0.0004440264,0.000008122969,0.00001493805,0.00003310469,0.000007132353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9362669,"threshold_uncertainty_score":0.6712615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01943276311053595,"score_gpt":0.2228289626374627,"score_spread":0.2033961995269267,"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."}}