{"id":"W1997906658","doi":"10.1149/05012.0077ecst","title":"Development of Electrochemical Cantilever Sensors for DNA Applications","year":2013,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Cantilever; Materials science; Nanotechnology; Surface modification; Microfluidics; Electrode; Biosensor; Silicon nitride; DNA; DNA–DNA hybridization; Optoelectronics; Silicon; Chemistry; Composite material","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":[0.001000336,0.0009131982,0.0004780607,0.0004749224,0.0001981133,0.000401196,0.001326776,0.001203775,0.001572437],"category_scores_gemma":[0.001070968,0.0005093946,0.0003545023,0.0003770097,0.0002524581,0.0008835617,0.0004841702,0.001104261,0.001052555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004394023,"about_ca_system_score_gemma":0.000323829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003432239,"about_ca_topic_score_gemma":0.0007961896,"domain_scores_codex":[0.9993782,0.00007654755,0.00004151084,0.0001330715,0.0003297487,0.00004089644],"domain_scores_gemma":[0.9996169,0.00008381777,0.00002997069,0.00002631868,0.0002055025,0.00003736495],"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":[0.00001163101,0.0000150338,0.0001076937,0.0002287866,0.000009568122,0.00004992545,0.00001982759,0.0002640774,0.9813487,0.0007375242,0.0003384911,0.01686878],"study_design_scores_gemma":[0.00001596469,0.0002081728,0.0006002125,0.00004715745,0.00001915342,0.0003494834,0.00001951175,0.005756706,0.9678869,0.0003469029,0.02472004,0.00002985764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1415902,0.04654757,0.7951192,0.001977532,0.001895473,0.001019627,0.00121436,0.001961817,0.008674236],"genre_scores_gemma":[0.1514264,0.01846953,0.8207055,0.0008122721,0.0001615699,0.0006477242,0.0009861881,0.00009566911,0.00669516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001572437,"threshold_uncertainty_score":0.005290329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009164844834838681,"score_gpt":0.2298792511717968,"score_spread":0.2207144063369581,"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."}}