{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006696038,0.0005382958,0.001684022,0.000319494,0.00002050675,0.0000316277,0.000272609,0.0001861972,0.000004007455],"category_scores_gemma":[0.00003675888,0.000332678,0.0001132576,0.0004904357,0.000118845,0.00006602564,0.00007073708,0.0001903385,0.00003788275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000070732,"about_ca_system_score_gemma":0.00002463412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005839055,"about_ca_topic_score_gemma":0.00002984862,"domain_scores_codex":[0.9985975,0.00005012612,0.0006085584,0.0003094503,0.0001085842,0.0003258019],"domain_scores_gemma":[0.9994278,0.00004742092,0.0001480501,0.000324033,0.00003126721,0.00002145146],"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":[0.00007375143,0.0001913646,0.000007605039,0.1262634,0.0005677904,0.0001942592,0.0003476779,0.007928215,0.3284324,0.0002947484,0.0001120963,0.5355867],"study_design_scores_gemma":[0.0006374762,0.0002414834,0.00000494023,0.05984886,0.0004653453,0.00007321879,0.000178873,0.0004236441,0.267133,0.000166752,0.6689273,0.001899144],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03856868,0.9585673,0.00003854543,0.00000442719,0.0003999303,0.0005424038,0.0001577101,0.001627535,0.00009348989],"genre_scores_gemma":[0.003485712,0.9947836,0.0008558737,7.508838e-7,0.00006412751,0.0001509111,0.0001188191,0.0001868255,0.0003533785],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6688151,"threshold_uncertainty_score":0.9999125,"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."}}