{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001911255,0.001625601,0.0009810256,0.001570275,0.0007887851,0.001184965,0.002096532,0.001480718,0.01448272],"category_scores_gemma":[0.002099345,0.001066555,0.0005167705,0.001260103,0.0006675699,0.00147701,0.001190969,0.003243844,0.01922795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007904544,"about_ca_system_score_gemma":0.001281452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005704554,"about_ca_topic_score_gemma":0.001190115,"domain_scores_codex":[0.9983526,0.0002456672,0.0001101603,0.0003187223,0.0008624622,0.0001102749],"domain_scores_gemma":[0.999356,0.0001037558,0.00006507367,0.0001180514,0.0003089287,0.00004830136],"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":[0.0001882886,0.0002254231,0.0002469445,0.003298211,0.00006774475,0.0003615229,0.0001545464,0.001703889,0.5214909,0.08468428,0.05598391,0.3315943],"study_design_scores_gemma":[0.00003930309,0.0001594726,0.0001387689,0.0001916467,0.00002975843,0.0003955222,0.00001998304,0.002062825,0.2879625,0.00577815,0.7031838,0.00003842322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004519515,0.04219386,0.8849376,0.002455622,0.006364875,0.001638288,0.002260865,0.004267728,0.05136168],"genre_scores_gemma":[0.0508096,0.06858679,0.7843729,0.004323645,0.00174303,0.004755492,0.004694333,0.0009693454,0.07974499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01448272,"threshold_uncertainty_score":0.04844958,"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."}}