{"id":"W4391843310","doi":"10.3390/mi15020273","title":"A Surface Imprinted Polymer EIS Sensor for Detecting Alpha-Synuclein, a Parkinson’s Disease Biomarker","year":2024,"lang":"en","type":"article","venue":"Micromachines","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Molecularly imprinted polymer; Biomarker; Biosensor; Detection limit; Materials science; Saliva; Polycaprolactone; Polymer; Chemistry; Biomedical engineering; Nanotechnology; Chromatography; Medicine; Biochemistry","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":[0.0001586306,0.0003891885,0.000381584,0.0001725356,0.0001913223,0.0001205457,0.000101107,0.00009083405,0.0002265933],"category_scores_gemma":[0.00009255762,0.0003051781,0.000439774,0.0002839609,0.00004593883,0.0001028758,0.000070683,0.000128627,0.0001511155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001164357,"about_ca_system_score_gemma":0.0001375474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002032172,"about_ca_topic_score_gemma":0.00001858733,"domain_scores_codex":[0.9982162,0.00004770329,0.0003072587,0.0007262257,0.0002029981,0.0004996402],"domain_scores_gemma":[0.9988795,0.0001329594,0.0000582822,0.0003986595,0.00007435172,0.0004562328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001685496,0.0005835036,0.02711818,0.0009267986,0.001392265,0.001425369,0.0002441476,0.000001630756,0.922057,0.0001030166,0.002552601,0.04191],"study_design_scores_gemma":[0.008150378,0.0006199098,0.178949,0.001371023,0.003656152,0.0005552426,0.0001668437,0.04062635,0.3446482,0.0006505689,0.4192037,0.00140256],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978624,0.01596938,0.001573113,0.001240334,0.0005451202,0.0008617623,0.0005320276,0.0005036198,0.0001506821],"genre_scores_gemma":[0.9933382,0.00007902723,0.002567689,0.0003891963,0.0001873896,0.0001156867,0.0001297125,0.0001259759,0.003067181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5774088,"threshold_uncertainty_score":0.99994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02171552717473163,"score_gpt":0.293482091383224,"score_spread":0.2717665642084924,"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."}}