{"id":"W2514767475","doi":"10.1021/acsnano.6b05610","title":"Patients, Here Comes More Nanotechnology","year":2016,"lang":"en","type":"article","venue":"ACS Nano","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; European Commission","keywords":"Nanotechnology; Silicon nanowires; Nanowire; Bridge (graph theory); Materials science; Medical physics; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005029798,0.0001319755,0.0001287906,0.00004741968,0.00005994438,0.000006640908,0.0001812507,0.0002227092,0.000003193853],"category_scores_gemma":[0.00009795905,0.00008173164,0.00007203163,0.00009547231,0.0001587306,0.000003135748,0.0001240118,0.00003819695,0.00001468269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001453291,"about_ca_system_score_gemma":0.0000166015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003390148,"about_ca_topic_score_gemma":0.000007783166,"domain_scores_codex":[0.9992373,0.00002130439,0.0001428978,0.0002995634,0.00008787149,0.0002110866],"domain_scores_gemma":[0.9993687,0.00000872278,0.00007004049,0.0004167455,0.00009882831,0.00003696579],"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":[0.00002138416,0.00004329512,0.008735639,0.000002306533,0.00003023743,0.000001923224,0.000002711711,5.070033e-8,0.9465239,0.00008327476,0.003309784,0.04124552],"study_design_scores_gemma":[0.0003011232,0.000166288,0.0007522455,0.00001346436,0.00001147336,0.000005656038,0.00001480116,2.312579e-7,0.9088048,0.0001699373,0.08961016,0.0001498168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972441,0.0001522841,0.0009110929,0.001178313,0.000057736,0.00007916226,0.00002463874,0.00008981668,0.0002628558],"genre_scores_gemma":[0.9958801,0.0003061315,0.001584658,0.0003735315,0.00006332111,0.000006394874,0.00004540073,0.00001662522,0.001723891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08630037,"threshold_uncertainty_score":0.3332919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005297445516493198,"score_gpt":0.2429937303084466,"score_spread":0.2376962847919534,"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."}}