{"id":"W2905138337","doi":"10.3390/mi9120679","title":"Nanowire-Based Biosensors: From Growth to Applications","year":2018,"lang":"en","type":"review","venue":"Micromachines","topic":"Nanowire Synthesis and Applications","field":"Engineering","cited_by":151,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Agency for Defense Development; National Research Foundation of Korea; National Research Foundation","keywords":"Nanotechnology; Nanomaterials; Nanowire; Materials science; Biosensor; Reusability; Carbon nanotube; Fabrication; Surface modification; Computer 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":[0.0005169217,0.001059184,0.0009370843,0.001769574,0.0002892022,0.0008837307,0.0009565983,0.001273598,0.001736576],"category_scores_gemma":[0.0004416719,0.0006078436,0.0004590623,0.001796427,0.0005205629,0.00176747,0.0008873546,0.00175334,0.002139261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006440274,"about_ca_system_score_gemma":0.0006390348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007726133,"about_ca_topic_score_gemma":0.001083417,"domain_scores_codex":[0.9997491,0.00002807647,0.00002692641,0.00006558039,0.0001033307,0.00002700858],"domain_scores_gemma":[0.9998771,0.00004268587,0.00001763079,0.000005982983,0.0000428809,0.00001366698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004588874,0.0001072501,0.0001969424,0.01623478,0.00005257448,0.0003620418,0.0001751896,0.0008471318,0.03483203,0.01948019,0.02614224,0.9015239],"study_design_scores_gemma":[0.000005409777,0.00009415219,0.0001982209,0.001350122,0.00002516537,0.0007255572,0.0000481443,0.0003350944,0.007773421,0.00382813,0.9855931,0.0000234235],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003297359,0.9957805,0.001268552,0.0003852115,0.0003295291,0.00001046007,0.00002071217,0.00002259212,0.001852764],"genre_scores_gemma":[0.001896352,0.9944676,0.001326559,0.0002532378,0.0001909843,0.0000182322,0.00002734008,0.000005278673,0.001814262],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001769574,"threshold_uncertainty_score":0.005809426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01945800689263875,"score_gpt":0.2755567660175498,"score_spread":0.256098759124911,"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."}}