{"id":"W4410160959","doi":"10.1016/j.jmapro.2025.05.001","title":"The importance of patterning design in laser-induced graphene for advanced applications","year":2025,"lang":"en","type":"article","venue":"Journal of Manufacturing Processes","topic":"Graphene research and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China; Natural Science Foundation of Shanghai","keywords":"Materials science; Graphene; Nanotechnology; Laser; Systems engineering; Engineering physics; Optics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004381755,0.0003447073,0.0002782081,0.0002382088,0.0005350217,0.001081167,0.0006286917,0.0007477279,0.00190408],"category_scores_gemma":[0.001316797,0.0003290081,0.0001897407,0.0002750307,0.000565653,0.001298241,0.0003302544,0.0006645781,0.0006701847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005793063,"about_ca_system_score_gemma":0.0004328598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003844379,"about_ca_topic_score_gemma":0.0009946299,"domain_scores_codex":[0.9997205,0.00005874733,0.00001994573,0.00004634748,0.0001245909,0.00002994582],"domain_scores_gemma":[0.9994823,0.0002317637,0.00007409055,0.00009722297,0.00009492353,0.00001965531],"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":[0.0001870501,0.0001613205,0.001357694,0.0009972044,0.00003404361,0.0002576117,0.0001855871,0.03104589,0.8059633,0.08813095,0.001989154,0.06969026],"study_design_scores_gemma":[0.00005880225,0.0004650592,0.002407041,0.0001098062,0.00006091419,0.0005185078,0.0002084101,0.1407897,0.7678556,0.04931996,0.03814022,0.00006612879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6515496,0.00869562,0.2540319,0.005314725,0.001106947,0.0002159059,0.0003324433,0.0007022626,0.07805051],"genre_scores_gemma":[0.9064384,0.002848735,0.08424816,0.0002820439,0.0001381847,0.00008952493,0.00009588039,0.0002058055,0.005653163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00190408,"threshold_uncertainty_score":0.00636977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02736988211480249,"score_gpt":0.317264104355572,"score_spread":0.2898942222407694,"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."}}