{"id":"W2289950543","doi":"","title":"A Novel Weigh-In Motion Sensor Using An Asphalt-Embedded Thin Film of Graphene-On-Clay and Carbon-Nanotubes","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbon nanotube; Materials science; Graphene; Nanocomposite; Fabrication; Electrical conductor; Composite material; Nanotechnology; Electrode; Optoelectronics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003477202,0.0003033422,0.0004485798,0.0002509074,0.0001737574,0.0001509058,0.0006652373,0.0002483414,0.0001143723],"category_scores_gemma":[0.0004315568,0.0003149767,0.00009915952,0.0002326889,0.0003023615,0.0001062336,0.0005436007,0.0003510453,0.000003484384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008955085,"about_ca_system_score_gemma":0.0001606146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005755997,"about_ca_topic_score_gemma":0.001108262,"domain_scores_codex":[0.996047,0.001864209,0.0006165786,0.0008279616,0.0003430096,0.000301221],"domain_scores_gemma":[0.9962048,0.0007330448,0.0006287975,0.001642853,0.0006493773,0.0001411074],"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":[0.00001161798,0.0005936846,0.0006612831,0.0001466861,0.00001539713,6.728153e-7,0.0066135,0.001650921,0.9782143,0.01030843,0.0000228772,0.001760601],"study_design_scores_gemma":[0.0004739489,0.000001047118,0.001289193,0.001045328,0.00004147593,0.000007702005,0.0002117617,0.1262139,0.8690105,0.001201972,0.0001418905,0.0003612172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742454,0.0003243616,0.01940302,0.0008190887,0.0002594145,0.000428709,0.00007580603,0.00009917997,0.004344961],"genre_scores_gemma":[0.9642646,0.00005537712,0.03504009,0.0000444997,0.00002853262,0.00004887599,0.00009555165,0.00003820209,0.0003842272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.124563,"threshold_uncertainty_score":0.9999302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02876108018962402,"score_gpt":0.2600445094382325,"score_spread":0.2312834292486085,"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."}}