{"id":"W2322197845","doi":"10.1021/am5007029","title":"DNA Molecular Beacon-Based Plastic Biochip: A Versatile and Sensitive Scanometric Detection Platform","year":2014,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Biochip; Molecular beacon; Materials science; Streptavidin; Nanotechnology; DNA; Biosensor; Combinatorial chemistry; Oligonucleotide; Biotin; Colloidal gold; Nanoparticle; Chemistry; Biochemistry","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":[0.0005237143,0.001136675,0.0005783411,0.000913002,0.0002745429,0.0006111134,0.00205585,0.001097565,0.001270379],"category_scores_gemma":[0.0005529433,0.0006938784,0.0003147727,0.000585269,0.0004307609,0.0007540326,0.000647746,0.001158502,0.002019346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006027338,"about_ca_system_score_gemma":0.0004645322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004145518,"about_ca_topic_score_gemma":0.000444984,"domain_scores_codex":[0.999223,0.0001081987,0.00004783143,0.000205324,0.0003475536,0.000067998],"domain_scores_gemma":[0.9997167,0.00006827898,0.00006271562,0.00002264691,0.00007802212,0.00005161277],"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":[0.00008887021,0.00002349472,0.0001168269,0.0001919619,0.00001335316,0.0001157678,0.00001627736,0.0004423153,0.979979,0.0006771346,0.0004691712,0.01786586],"study_design_scores_gemma":[0.00001033209,0.00009797457,0.000173265,0.000009441105,0.00001769782,0.0004294957,0.000008747798,0.003848374,0.987047,0.0001330952,0.00820365,0.00002100662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1062279,0.01618134,0.8625653,0.001334394,0.0009218954,0.0006838135,0.001275771,0.005662,0.005147668],"genre_scores_gemma":[0.317444,0.00938603,0.6579934,0.0009837784,0.0002723885,0.000930592,0.001408977,0.0002041507,0.01137673],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00205585,"threshold_uncertainty_score":0.004373193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005093376217997817,"score_gpt":0.2184729289396169,"score_spread":0.213379552721619,"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."}}