{"id":"W2051858267","doi":"10.1039/b509724j","title":"Scanning Kelvin nanoprobe detection in materials science and biochemical analysis","year":2005,"lang":"en","type":"article","venue":"The Analyst","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nanoprobe; Kelvin probe force microscope; Biomolecule; Work function; Nanotechnology; Adsorption; Substrate (aquarium); Desorption; Materials science; Molecule; Chemistry; Atomic force microscopy; Nanoparticle; Physical chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001305143,0.0007434584,0.0008558824,0.001264319,0.0005478084,0.0009278256,0.00105067,0.001970216,0.002074051],"category_scores_gemma":[0.0006832451,0.0009331866,0.0003683836,0.0009893191,0.00148918,0.001554041,0.0009025946,0.002011658,0.002577037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007817932,"about_ca_system_score_gemma":0.0004911457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004050143,"about_ca_topic_score_gemma":0.0007917458,"domain_scores_codex":[0.9991741,0.0002377279,0.0000480015,0.0001408585,0.0003281944,0.00007118967],"domain_scores_gemma":[0.9994965,0.0002727595,0.00002983431,0.00006154148,0.00009533113,0.00004410281],"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":[0.0001578177,0.0001421566,0.0007506714,0.001811507,0.0000468364,0.0008261253,0.0004306757,0.003225777,0.5457079,0.1668252,0.00984847,0.2702269],"study_design_scores_gemma":[0.00004140967,0.0004303078,0.001138475,0.000506678,0.00003575372,0.003897357,0.00016373,0.02028244,0.5070263,0.06514482,0.4011717,0.0001609136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02776627,0.2256149,0.7174593,0.003864902,0.001962039,0.0002322797,0.0002541993,0.001554919,0.02129128],"genre_scores_gemma":[0.175541,0.1274878,0.6559527,0.001756506,0.0009184044,0.0003041175,0.0003806662,0.0003468947,0.03731203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002074051,"threshold_uncertainty_score":0.006938457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006228704212004368,"score_gpt":0.2628844070943722,"score_spread":0.2566557028823678,"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."}}