{"id":"W2330955477","doi":"10.1021/acs.nanolett.6b00156","title":"Programmable Quantitative DNA Nanothermometers","year":2016,"lang":"en","type":"article","venue":"Nano Letters","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Government of Canada","keywords":"Nanomaterials; Nanoelectronics; Nanotechnology; Robustness (evolution); Nanofluidics; Materials science; Chemistry","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":[0.0006625392,0.0005209123,0.0002648061,0.0003242893,0.0001610387,0.000397469,0.0006598319,0.0005385615,0.002609849],"category_scores_gemma":[0.001300674,0.0002677882,0.0001537477,0.0002788082,0.0006122855,0.0008701299,0.0004284316,0.0009921748,0.0006552575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005339183,"about_ca_system_score_gemma":0.000233302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001029026,"about_ca_topic_score_gemma":0.0003126376,"domain_scores_codex":[0.999348,0.0001136796,0.00002924739,0.0002262577,0.000242074,0.00004071743],"domain_scores_gemma":[0.9994317,0.0002719967,0.0001347316,0.00006283223,0.00007157623,0.00002706954],"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":[0.00004681968,0.00002288139,0.0001724659,0.00009191587,0.00000465773,0.00001187573,0.00002981841,0.000598104,0.9823233,0.002999753,0.0001849447,0.01351337],"study_design_scores_gemma":[0.00001314313,0.00008712905,0.0002856138,0.0000110125,0.000004890022,0.00003966226,0.00001267899,0.00680716,0.986912,0.0008670305,0.004943184,0.000016319],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3737266,0.006460815,0.5997332,0.001072651,0.0008479652,0.0003667149,0.001798846,0.002748498,0.01324468],"genre_scores_gemma":[0.6704155,0.002531432,0.3170705,0.000463983,0.0001248078,0.0007753896,0.0004542376,0.0001290934,0.008035051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002609849,"threshold_uncertainty_score":0.008730829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007663733933929996,"score_gpt":0.2000177251130704,"score_spread":0.1923539911791404,"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."}}