{"id":"W3082046719","doi":"","title":"Development of Amino Functionalized Graphene Based Polymer Nanofibers for Gas Sensors","year":2019,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polyaniline; Graphene; Materials science; Adsorption; Polymer chemistry; Conductive polymer; Nanoporous; Polymer; Nanotechnology; Chemistry; Physical chemistry; Physics; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001390822,0.000363552,0.00009372945,0.0002839307,0.0001031839,0.0001221815,0.0002141492,0.0004428785,0.0009790401],"category_scores_gemma":[0.0001479336,0.0001293628,0.000202308,0.0001157348,0.0001044919,0.000314339,0.0001099352,0.0002273529,0.0003350817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001671134,"about_ca_system_score_gemma":0.0001166118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002299099,"about_ca_topic_score_gemma":0.0006135014,"domain_scores_codex":[0.9999347,0.000006850818,0.000005281638,0.00001798052,0.00002533448,0.000009828911],"domain_scores_gemma":[0.9999185,0.00001326603,0.00002855093,0.000006278965,0.0000199254,0.00001346031],"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":[0.00001876551,0.00001572822,0.00005851231,0.000051458,0.000004383041,0.00004563367,0.000007174109,0.00020331,0.9963881,0.0001108186,0.0000449492,0.003051262],"study_design_scores_gemma":[0.000005423189,0.0001356531,0.0006085517,0.000006080928,0.000006270697,0.00007696413,0.000004713357,0.001393575,0.9952998,0.00002663391,0.002430596,0.000005665535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580294,0.005417748,0.02817649,0.000301297,0.0001998645,0.0002171706,0.0003849611,0.0004811325,0.006791948],"genre_scores_gemma":[0.9504384,0.002429632,0.03998031,0.0001286406,0.00003262231,0.0001189687,0.0003095375,0.00002628486,0.006535662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009790401,"threshold_uncertainty_score":0.003275216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008977054173385287,"score_gpt":0.1961515510745055,"score_spread":0.1871744969011202,"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."}}