{"id":"W4390468296","doi":"10.3390/mi15010082","title":"Advancement in Biosensor Technologies of 2D MaterialIntegrated with Cellulose—Physical Properties","year":2023,"lang":"en","type":"review","venue":"Micromachines","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; École de Technologie Supérieure; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biosensor; Nanocellulose; Nanotechnology; Flexibility (engineering); Cellulose; Graphene; Materials science; Computer science; Engineering; Chemical engineering","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":[0.0003770941,0.0007187664,0.0007256531,0.001289368,0.0001725944,0.0005906274,0.0004818517,0.0007235431,0.001414415],"category_scores_gemma":[0.0003069668,0.000302601,0.0003866059,0.001074619,0.0002804467,0.001157455,0.0004278045,0.001086736,0.0009354762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003686993,"about_ca_system_score_gemma":0.0004378736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003594161,"about_ca_topic_score_gemma":0.0006825855,"domain_scores_codex":[0.9998438,0.00001527747,0.00001253405,0.0000389661,0.00007398184,0.00001532924],"domain_scores_gemma":[0.9998844,0.00005457365,0.00001778647,0.000006248752,0.000030611,0.000006398401],"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":[0.00003846064,0.00009146286,0.0002202321,0.02262283,0.00009388856,0.000337939,0.00008351203,0.0007815228,0.07580328,0.01251531,0.008535218,0.8788764],"study_design_scores_gemma":[0.000007785842,0.0002115167,0.0009402918,0.001880021,0.0001197247,0.002131423,0.00006445472,0.0005480464,0.03776309,0.002354527,0.953932,0.00004704854],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001162721,0.9931033,0.0020768,0.0002377659,0.0002888561,0.00001245423,0.00002421531,0.00001970039,0.003074239],"genre_scores_gemma":[0.005506464,0.9897161,0.002238331,0.0002919993,0.0001753431,0.00001842392,0.00004642268,0.000004227274,0.002002631],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001414415,"threshold_uncertainty_score":0.004731715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0383341314610061,"score_gpt":0.2716609703028726,"score_spread":0.2333268388418664,"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."}}