{"id":"W2023732233","doi":"10.1016/j.trac.2011.05.009","title":"Nanoparticles in electrochemical sensors for environmental monitoring","year":2011,"lang":"en","type":"article","venue":"TrAC Trends in Analytical Chemistry","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":344,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Nanotechnology; Environmental monitoring; Electrochemical gas sensor; Electrochemistry; Nanoparticle; Environmental analysis; Pollutant; Materials science; Environmental science; Electrode; Chemistry; Environmental engineering","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":[0.0006654692,0.000516623,0.0004585163,0.0004127714,0.0002283631,0.001014957,0.000851254,0.001530954,0.001455165],"category_scores_gemma":[0.0008186704,0.0005152578,0.0002420204,0.0002338619,0.0004827667,0.00152856,0.000641831,0.0008993273,0.00135279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006996884,"about_ca_system_score_gemma":0.0002401931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005596453,"about_ca_topic_score_gemma":0.00123935,"domain_scores_codex":[0.9995098,0.0001331119,0.00003229065,0.0001199226,0.0001712694,0.00003359638],"domain_scores_gemma":[0.999836,0.00005607682,0.00001601057,0.00001904162,0.00005948933,0.00001344049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002054582,0.0001598258,0.0005572155,0.001003598,0.00005912783,0.000301529,0.0001523843,0.002219552,0.8397576,0.03165814,0.007488857,0.1164367],"study_design_scores_gemma":[0.00001282925,0.0001403909,0.0002803266,0.00005086097,0.00004514729,0.0002716744,0.00005055698,0.01021026,0.9219593,0.003580126,0.06338154,0.00001695256],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2533837,0.1593393,0.4594116,0.01104893,0.006980986,0.0003954689,0.0006979186,0.002103808,0.1066383],"genre_scores_gemma":[0.7355901,0.03525442,0.1454407,0.002889813,0.0007718321,0.0002547916,0.0005840667,0.000371305,0.07884304],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001530954,"threshold_uncertainty_score":0.005076587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02792790563886095,"score_gpt":0.2669506558299504,"score_spread":0.2390227501910894,"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."}}