{"id":"W6893501730","doi":"10.5281/zenodo.2577185","title":"Nanosensors Market Outlook, Key Players and Demand by 2023","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nanosensor; Electronics; Key (lock); On demand; Scale (ratio); Reliability (semiconductor); Nanoscopic scale; Nanometre","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001215914,0.0008899668,0.0004745066,0.001700929,0.0006817908,0.004174381,0.001197371,0.003904148,0.1052153],"category_scores_gemma":[0.002899369,0.0003263179,0.0005615566,0.002413773,0.0005210457,0.00631102,0.001269783,0.002346474,0.08170274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002137713,"about_ca_system_score_gemma":0.002492083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004984128,"about_ca_topic_score_gemma":0.004898305,"domain_scores_codex":[0.9989785,0.00005422356,0.00003302957,0.0001499124,0.0006552387,0.0001292315],"domain_scores_gemma":[0.9981199,0.0001904167,0.000114946,0.00002371968,0.001127894,0.0004231905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001124349,0.00003993891,0.0003363772,0.0003634359,0.000006088251,0.0001011677,0.00002706939,0.0002425284,0.002675227,0.01644957,0.8485222,0.131124],"study_design_scores_gemma":[0.000007329333,0.00005156656,0.0005978175,0.0001496263,0.000005105849,0.0001222987,0.00009465042,0.000450317,0.0006446699,0.002075681,0.9957857,0.00001527655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01115736,0.1139904,0.008446601,0.1302784,0.02423212,0.0001910567,0.0368828,0.004898117,0.6699232],"genre_scores_gemma":[0.06524404,0.1549771,0.01034291,0.05835635,0.007204179,0.0003262968,0.04382185,0.001426606,0.6583006],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1052153,"threshold_uncertainty_score":0.3519803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008965411533290628,"score_gpt":0.1849658466131999,"score_spread":0.1760004350799092,"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."}}