{"id":"W2726675758","doi":"10.1002/marc.201700176","title":"Direct Creation of Highly Conductive Laser‐Induced Graphene Nanocomposites from Polymer Blends","year":2017,"lang":"en","type":"article","venue":"Macromolecular Rapid Communications","topic":"Graphene research and applications","field":"Materials Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polyetherimide; Materials science; Nanocomposite; Graphene; Polycarbonate; Laser power scaling; Polymer; Polymer blend; Composite material; Polymer nanocomposite; Conductive polymer; Electrical resistivity and conductivity; Phase (matter); Laser; Nanotechnology; Optics; Copolymer; Organic chemistry; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001207418,0.0004226811,0.0001586943,0.0004745893,0.0001415392,0.0003014762,0.0002639719,0.0003294582,0.001027471],"category_scores_gemma":[0.0002062301,0.000215177,0.0002491484,0.0002311668,0.0001859218,0.0003814081,0.0002860681,0.0004973428,0.0003037323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001951273,"about_ca_system_score_gemma":0.00009348443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001087682,"about_ca_topic_score_gemma":0.0004367618,"domain_scores_codex":[0.9998815,0.00001105012,0.000008075719,0.00003439935,0.00004075087,0.00002420562],"domain_scores_gemma":[0.9998765,0.00003468892,0.00004078919,0.00001542492,0.00001272573,0.00001985426],"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":[0.00001108896,0.00001018126,0.00002434465,0.00002673071,0.000003001618,0.00002282458,0.000008189545,0.00004877711,0.9987983,0.00005101536,0.00001310098,0.0009825402],"study_design_scores_gemma":[0.000002706696,0.00002834883,0.000186676,0.000001287021,0.000003719756,0.00002887162,0.000003315555,0.0002894039,0.9990036,0.00001256743,0.0004375892,0.000001889137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984314,0.0006939611,0.0116256,0.00006171785,0.00003298516,0.00005958288,0.0001911481,0.0002805429,0.002740417],"genre_scores_gemma":[0.9866782,0.0004633691,0.01071324,0.00002510398,0.000007801421,0.0000443485,0.0001442453,0.00006981358,0.001853802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001027471,"threshold_uncertainty_score":0.003437221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03238850248794124,"score_gpt":0.3119491687841088,"score_spread":0.2795606662961676,"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."}}