{"id":"W2945379470","doi":"","title":"Chemical Sensor Interface for Analyzing Data in Real-Time","year":2018,"lang":"en","type":"article","venue":"MacEwan University Student Research Proceedings","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Computer science; Interface (matter); Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.0003484012,0.0001547571,0.0002124923,0.0003523997,0.0001248082,0.00005664084,0.001514275,0.0001462967,0.00002901954],"category_scores_gemma":[0.0003281463,0.000175115,0.00002991304,0.0008244236,0.0003669053,0.0003393054,0.001311636,0.0004683252,0.00005122002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005751235,"about_ca_system_score_gemma":0.000008310368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002898179,"about_ca_topic_score_gemma":0.00001323198,"domain_scores_codex":[0.9982961,0.000008054339,0.0001459328,0.0004967839,0.0003740668,0.0006790879],"domain_scores_gemma":[0.9991267,0.0001426115,0.00002242098,0.0003278623,0.0002787015,0.0001017467],"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":[0.00008786235,0.00004381197,0.003093058,0.00009097485,0.0000414466,0.00001019833,0.0007183548,0.00001588925,0.9875538,0.0002311486,0.006998939,0.001114473],"study_design_scores_gemma":[0.001442625,0.0001784949,0.001002841,0.00017512,0.00002208604,0.000005783329,0.01379079,0.01254072,0.9300849,0.0004048731,0.03979831,0.0005534725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896528,0.00001941712,0.0003182951,0.0002354949,0.00002344466,0.0004664934,0.00003091863,0.0006262209,0.008626955],"genre_scores_gemma":[0.9935201,0.0001115789,0.005394396,0.00000259628,0.00008541561,0.000002988618,0.00001156049,0.00002972348,0.0008415958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05746896,"threshold_uncertainty_score":0.7140981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09073135222822322,"score_gpt":0.3797900705260289,"score_spread":0.2890587182978057,"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."}}