{"id":"W2042345431","doi":"10.1021/ac901743u","title":"Programmable Nano-Bio-Chip Sensors: Analytical Meets Clinical","year":2010,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Minnow Environmental (Canada)","funders":"National Institute of Dental and Craniofacial Research; National Institutes of Health","keywords":"Chemistry; Nano-; Chip; Nanotechnology; Human immunodeficiency virus (HIV); Computer science; Telecommunications; Engineering; Chemical 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002873225,0.0002592585,0.0003634964,0.00002665558,0.0000888714,0.00007021648,0.0003301069,0.0004138668,0.001400239],"category_scores_gemma":[0.0001364173,0.0002466197,0.0002589126,0.0003268863,0.0002639323,0.00005014027,0.00005327652,0.0008601454,0.0003383753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003470061,"about_ca_system_score_gemma":0.00005849868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004459748,"about_ca_topic_score_gemma":0.000001191976,"domain_scores_codex":[0.9981906,0.00001459145,0.0005481644,0.0004274167,0.0002476246,0.0005716437],"domain_scores_gemma":[0.9986482,0.0001189329,0.00003418451,0.0006675061,0.00007663005,0.0004546049],"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":[0.0000266832,0.0003225766,0.003403378,0.0001520896,0.0003467693,0.00004373277,0.00001634109,0.00001767488,0.7341273,0.006684969,0.2517861,0.003072389],"study_design_scores_gemma":[0.0004787749,0.00003281306,0.0008338027,0.0000150047,0.0002253229,0.00008404841,0.0000251275,0.0307434,0.2418365,0.0006395301,0.724464,0.0006216399],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540067,0.001017218,0.0002268601,0.000571178,0.0001052929,0.0001359217,0.0000126999,0.0004432224,0.04348096],"genre_scores_gemma":[0.9947627,0.001772667,0.0002262601,0.00008865765,0.0005939802,0.00002648091,0.00005523043,0.00005274039,0.002421326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4922908,"threshold_uncertainty_score":0.9999986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150371984499727,"score_gpt":0.2639596497684057,"score_spread":0.2524559299234085,"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."}}