{"id":"W2165724941","doi":"10.1002/smll.201202278","title":"Sharpening the Thermal Release of DNA from Nanoparticles: Towards a Sequential Release Strategy","year":2013,"lang":"en","type":"article","venue":"Small","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Sharpening; Nanoparticle; DNA; Materials science; Thermal; Nanotechnology; Controlled release; Biophysics; Chemical engineering; Chemistry; Computer science; Biochemistry; Engineering; Biology; Artificial intelligence","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":[0.0004320994,0.0006135923,0.0004824212,0.0003294993,0.0001791381,0.0004864561,0.0005281687,0.0006029133,0.000655557],"category_scores_gemma":[0.0005921766,0.0005339788,0.0004350065,0.000165408,0.0004528858,0.000561879,0.0005254493,0.001010155,0.0005698574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003638099,"about_ca_system_score_gemma":0.0002278723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002206249,"about_ca_topic_score_gemma":0.000439917,"domain_scores_codex":[0.9995438,0.00006841042,0.00004300296,0.0001580183,0.0001291851,0.0000575475],"domain_scores_gemma":[0.9995671,0.0001016754,0.0001471858,0.00007870113,0.00006107277,0.00004426196],"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":[0.00002444873,0.000009799156,0.00001913109,0.00002353454,0.000003714455,0.00001480729,0.0000174443,0.0001278865,0.998152,0.00007294282,0.00001062956,0.0015237],"study_design_scores_gemma":[0.000006519708,0.00008728532,0.00007806854,0.000001850961,0.000005553431,0.00007799934,0.000003480565,0.0009318154,0.9983616,0.00002108571,0.0004197741,0.000004828725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8716185,0.003029179,0.1220992,0.0001958962,0.00007195389,0.0002589376,0.0001194811,0.0005219143,0.002084945],"genre_scores_gemma":[0.9257151,0.001454808,0.06875617,0.0001444734,0.00003271137,0.0001702845,0.0001045576,0.000114335,0.003507698],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.000655557,"threshold_uncertainty_score":0.002639651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844383265138077,"score_gpt":0.2528372959197703,"score_spread":0.2343934632683896,"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."}}