{"id":"W4226217781","doi":"10.22215/etd/2022-14938","title":"Platform for Graphene Sensors Using Printed Circuit Boards and Single Board Computers","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Breadboard; Printed circuit board; Resistor; Electrical engineering; Engineering; Voltage; Graphene; Chip; Materials science; Electronic engineering; Nanotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003330064,0.0003328338,0.0004420592,0.0004956649,0.000380092,0.000135355,0.0006792608,0.0003337519,0.00002088744],"category_scores_gemma":[0.00004408125,0.0003418351,0.0001611858,0.0003665291,0.00003934439,0.0002206235,0.00004976122,0.0002981139,0.000002114059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001540645,"about_ca_system_score_gemma":0.00008214784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001031898,"about_ca_topic_score_gemma":0.0001060252,"domain_scores_codex":[0.9979829,0.00003789992,0.0004230681,0.0007501154,0.0004076621,0.0003983155],"domain_scores_gemma":[0.9987953,0.0001019958,0.0003103458,0.0005600156,0.0001496853,0.00008265825],"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":[0.0004304825,0.0009385122,0.002042606,0.002969831,0.002189273,0.0001480166,0.01399322,0.001042823,0.4449055,0.3917572,0.009447944,0.1301346],"study_design_scores_gemma":[0.01102709,0.003432918,0.005859166,0.001810362,0.0008789185,0.0007619524,0.01972209,0.2485681,0.5486893,0.03928881,0.1113518,0.008609476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.741326,0.0005241822,0.2438674,0.0001085118,0.006342779,0.001850054,0.00001660781,0.001220655,0.004743773],"genre_scores_gemma":[0.9492023,0.00003161539,0.04334304,0.0003215112,0.000163432,0.000186067,0.0002930113,0.000104895,0.006354117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3524684,"threshold_uncertainty_score":0.9999034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05594527425155563,"score_gpt":0.2724088248597324,"score_spread":0.2164635506081768,"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."}}