{"id":"W2000797233","doi":"10.1016/j.ceramint.2015.03.253","title":"A new biosensor based on PVDF film for detection of nucleic acids","year":2015,"lang":"en","type":"article","venue":"Ceramics International","topic":"Acoustic Wave Resonator Technologies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; International Science and Technology Cooperation Programme; Higher Education Discipline Innovation Project; Ministry of Education of the People's Republic of China","keywords":"Biosensor; Nucleic acid; Analyte; Materials science; Chromatography; Nucleic acid detection; Reagent; Nucleic acid quantitation; Nanotechnology; Polyvinylidene fluoride; Nat; Combinatorial chemistry; Chemistry; Computer science; Biochemistry; Organic chemistry; Polymer","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":[0.0004112684,0.000682711,0.0006932238,0.0006023662,0.0003528153,0.0006134289,0.001250328,0.001482213,0.001073479],"category_scores_gemma":[0.0004046516,0.0004644466,0.000511557,0.0004193817,0.0003667596,0.001149221,0.0004870131,0.0009039169,0.0008285349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003672749,"about_ca_system_score_gemma":0.0003500688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003450656,"about_ca_topic_score_gemma":0.0005368571,"domain_scores_codex":[0.9994422,0.00004476542,0.00003339905,0.0001601292,0.000262122,0.00005745676],"domain_scores_gemma":[0.9997439,0.00006817789,0.00003945352,0.00002090461,0.00008589798,0.00004168148],"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":[0.00002529933,0.00001242876,0.00006805819,0.0000682172,0.000004350715,0.00004124258,0.00001106603,0.00001444445,0.9959158,0.0000850888,0.0001098973,0.003644056],"study_design_scores_gemma":[0.000008757059,0.0001570562,0.0005608862,0.000005081196,0.00001940886,0.0004348292,0.00001809074,0.001166415,0.993834,0.00005180715,0.003729441,0.00001423009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6550506,0.01585092,0.3128147,0.001989593,0.002099109,0.0002874986,0.0007347543,0.002652756,0.008520029],"genre_scores_gemma":[0.7618825,0.006271794,0.2114937,0.0007489743,0.000336428,0.0002024371,0.0007159967,0.00009556837,0.01825264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001482213,"threshold_uncertainty_score":0.00359112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907711010794709,"score_gpt":0.2413470724374589,"score_spread":0.2222699623295118,"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."}}