{"id":"W4220777925","doi":"10.3390/s22062383","title":"Drone-Mountable Gas Sensing Platform Using Graphene Chemiresistors for Remote In-Field Monitoring","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Ministère de la Défense Nationale","keywords":"Microcontroller; Drone; Wireless; Electrical engineering; Computer science; Embedded system; Engineering; Real-time computing; Telecommunications","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":[0.00006354418,0.0004259256,0.0001413829,0.0002008314,0.0001491397,0.0002010074,0.0005404734,0.0004486546,0.0007416356],"category_scores_gemma":[0.0001557887,0.0001554644,0.0001381514,0.0001096139,0.000156539,0.0003633304,0.0002655878,0.0002465053,0.000274701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001844032,"about_ca_system_score_gemma":0.0001304093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005068734,"about_ca_topic_score_gemma":0.001298704,"domain_scores_codex":[0.9999143,0.000007139221,0.000002743206,0.00002195303,0.00004323981,0.00001058911],"domain_scores_gemma":[0.9999096,0.00001518713,0.00002445565,0.00001866982,0.00002094042,0.00001103114],"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":[0.00001963172,0.00001736909,0.0001783063,0.00004581821,0.000004158364,0.00008356386,0.00001799681,0.0005513279,0.9948348,0.0001179756,0.0001339461,0.003995033],"study_design_scores_gemma":[0.00000723031,0.0002985923,0.001535339,0.000005812898,0.000009393605,0.0001506984,0.0000241423,0.008371403,0.9867337,0.00006598146,0.002783774,0.00001388852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435027,0.0007438277,0.04876427,0.0002501837,0.0001740746,0.0001299566,0.0002785438,0.0008943127,0.005262091],"genre_scores_gemma":[0.9550785,0.0002941265,0.04106603,0.00008073951,0.00001881034,0.00006456993,0.0001246427,0.00003036227,0.003242313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007416356,"threshold_uncertainty_score":0.002480984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02339640648111057,"score_gpt":0.2379225075390213,"score_spread":0.2145261010579108,"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."}}