{"id":"W4391296887","doi":"10.20944/preprints202401.1829.v1","title":"Is this the Simplest Possible Biosensor? A Surface Imprinted Polymer EIS Sensor for Detecting Alpha-synuclein, a Parkinson’s Disease Biomarker","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biomarker; Alpha-synuclein; Biosensor; Parkinson's disease; Molecularly imprinted polymer; Alpha (finance); Nanotechnology; Disease; Materials science; Chemistry; Medicine; Internal medicine; Biochemistry; Clinical psychology","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":[0.0006881252,0.0007739861,0.0007804749,0.000413858,0.0002454399,0.001498238,0.0009569625,0.002672546,0.001293678],"category_scores_gemma":[0.001950631,0.0004605987,0.0005023552,0.000308533,0.0009654127,0.00283019,0.000534803,0.001935845,0.001514269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004044478,"about_ca_system_score_gemma":0.0002864431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002610949,"about_ca_topic_score_gemma":0.0003824395,"domain_scores_codex":[0.9991836,0.0001448399,0.00003793908,0.0002356135,0.0003269579,0.00007094196],"domain_scores_gemma":[0.9995219,0.0001726413,0.00008458288,0.00003260432,0.0001472961,0.00004098306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002513624,0.0001074491,0.00216394,0.001512401,0.0001188123,0.0007150542,0.0002632214,0.001558815,0.8693301,0.009870543,0.006522406,0.1075858],"study_design_scores_gemma":[0.0000348642,0.001092405,0.002138536,0.0004247548,0.0001860134,0.004634999,0.0008379079,0.01682888,0.8342228,0.0137614,0.1256062,0.0002313068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2158085,0.1458718,0.5068507,0.08929786,0.006706759,0.0001921523,0.0007389332,0.003260337,0.03127278],"genre_scores_gemma":[0.6162348,0.05504673,0.2909453,0.01464817,0.001208533,0.0001778477,0.0004754746,0.0002019338,0.02106127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002672546,"threshold_uncertainty_score":0.004327834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1093106936130291,"score_gpt":0.3572143873850014,"score_spread":0.2479036937719723,"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."}}