{"id":"W4241998590","doi":"10.1149/ma2005-02/9/394","title":"Highly Sensitive Integrated Biosensors","year":2006,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Biosensor; Nanotechnology; Chemistry; Biochemical engineering; Materials science; 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":[0.0007067645,0.001154237,0.0006718878,0.0006575493,0.0002926658,0.0009677652,0.001794707,0.001506489,0.01097962],"category_scores_gemma":[0.0008796742,0.0005866921,0.0004593164,0.0005985401,0.0003942269,0.0009769924,0.0008218717,0.001922093,0.01029521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008629662,"about_ca_system_score_gemma":0.0003053606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004016992,"about_ca_topic_score_gemma":0.0008239088,"domain_scores_codex":[0.9987166,0.000113393,0.00005188813,0.0003443392,0.0005971066,0.0001767082],"domain_scores_gemma":[0.9996948,0.00007551447,0.00003080984,0.00004776229,0.0001023508,0.00004867747],"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":[0.0000659354,0.00003124716,0.00005148097,0.0001890726,0.00001738342,0.00004685215,0.00001865453,0.00005249129,0.9815938,0.000977786,0.003443642,0.01351158],"study_design_scores_gemma":[0.00004305418,0.0001777339,0.0007310054,0.00003108706,0.00003753873,0.000317992,0.00002174167,0.001629354,0.9396502,0.0007476808,0.05658713,0.00002559541],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1967898,0.06443681,0.5969123,0.004708896,0.007127713,0.00154919,0.01093629,0.01287236,0.1046665],"genre_scores_gemma":[0.5899194,0.01726789,0.2432333,0.003101203,0.0007220763,0.00113159,0.01164098,0.000553386,0.1324302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01097962,"threshold_uncertainty_score":0.03673047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007066139672480385,"score_gpt":0.2417295313445277,"score_spread":0.2346633916720474,"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."}}