{"id":"W3027136592","doi":"10.3390/chemosensors8020035","title":"Chemical Reagents for Sensor Design and Development","year":2020,"lang":"en","type":"article","venue":"Chemosensors","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Reagent; Analyte; Chemical sensor; Transducer; Computer science; Ionic bonding; Sample (material); Nanotechnology; Process engineering; Materials science; Chemistry; Chromatography; Engineering; Electrode; Electrical engineering; Organic chemistry; Ion; Physical chemistry","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":[0.00007663903,0.0002164168,0.0002720774,0.00001186152,0.00005843534,0.00001912925,0.0001210523,0.0001541118,0.00008813691],"category_scores_gemma":[0.0005536099,0.0002091868,0.00006437299,0.00008879192,0.00006286328,0.00003832787,0.00005306166,0.0001675625,0.00006836175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003675238,"about_ca_system_score_gemma":0.00002174579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.871832e-7,"about_ca_topic_score_gemma":1.206851e-8,"domain_scores_codex":[0.9988292,0.000008461963,0.0002764218,0.0003973321,0.0001490264,0.0003395315],"domain_scores_gemma":[0.9991817,0.0002304065,0.00004092591,0.0001232326,0.00004632059,0.0003773447],"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":[0.0001545558,0.00002859148,0.00003617867,0.0002088171,0.00006982826,0.00001368953,0.0005603353,0.0004654027,0.9950938,0.0001024765,0.001533642,0.001732715],"study_design_scores_gemma":[0.0005955446,0.00001198953,0.000005858341,0.00001346535,0.00002272122,0.000007438763,0.0001048475,0.04808334,0.93276,0.00001901593,0.01810413,0.0002716375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8718267,0.0000795315,0.1244459,0.001691412,0.00003790556,0.000400438,0.00000990219,0.0003566494,0.00115151],"genre_scores_gemma":[0.8868448,0.000008645541,0.1109511,0.0008069032,0.0002616646,0.00002743292,0.00002942827,0.00005952745,0.001010538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06233376,"threshold_uncertainty_score":0.8530389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05731574926078092,"score_gpt":0.2452972271366414,"score_spread":0.1879814778758605,"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."}}