{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007957095,0.0005596248,0.001026997,0.0002639783,0.0001361411,0.00008938942,0.0006469389,0.0002760324,0.0001333322],"category_scores_gemma":[0.00001910515,0.0004759839,0.0004207321,0.0006555361,0.00004791853,0.00003468275,0.00005765252,0.0001875067,0.003567323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009527768,"about_ca_system_score_gemma":0.00005710225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007844857,"about_ca_topic_score_gemma":0.00003425428,"domain_scores_codex":[0.9984313,0.00004424137,0.0005593152,0.0005264254,0.0001224483,0.0003162891],"domain_scores_gemma":[0.9986311,0.0002187999,0.00009011837,0.0008348841,0.0000574005,0.0001677004],"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":[8.023311e-7,0.00006782529,0.000002417208,0.003711887,0.0001873542,0.000001444675,0.00002139147,0.000006598838,0.001241421,0.0001892151,0.02593212,0.9686375],"study_design_scores_gemma":[0.00004757763,0.000007011862,0.000003242171,0.001722625,0.000269345,0.000002415943,9.959977e-7,0.00004400496,0.0008202365,0.00009883035,0.9964632,0.0005205476],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002959091,0.9895307,0.005669749,0.00005435038,0.0001891916,0.001234071,0.001424427,0.0006853936,0.001182548],"genre_scores_gemma":[0.00004898335,0.9858314,0.009916454,0.00006932904,0.001036576,0.001959768,0.0006990808,0.0002270678,0.0002113892],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.970531,"threshold_uncertainty_score":0.9997692,"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."}}