{"id":"W4400008532","doi":"10.20944/preprints202406.1630.v1","title":"Rapid, Selective, and Ultra-Sensitive Electronic Field Effect Detection of &lt;em&gt;Escherichia coli&lt;/em&gt;","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Escherichia coli; Field (mathematics); Chemistry; Molecular biology; Biology; Biochemistry; Mathematics; Gene","routes":{"ca_aff":true,"ca_fund":false,"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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005676883,0.0006664498,0.0009876676,0.000167688,0.0001559923,0.00005818802,0.0004725879,0.0008619064,0.0003918385],"category_scores_gemma":[0.0003897173,0.0006659709,0.0005736716,0.0005466179,0.0001143582,0.00005119291,0.000788705,0.002523975,0.0002353261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003506106,"about_ca_system_score_gemma":0.0002093279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001022875,"about_ca_topic_score_gemma":0.0001796375,"domain_scores_codex":[0.9963116,0.0001286485,0.0007664223,0.001656396,0.0004569612,0.0006799436],"domain_scores_gemma":[0.9974684,0.0004863669,0.0004814983,0.001110928,0.0002603747,0.0001924455],"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":[0.0001750672,0.0001494507,0.001712856,0.0009028122,0.001011647,0.000003994448,0.0003909834,0.0000243589,0.9895463,0.0002192303,0.00005352242,0.005809798],"study_design_scores_gemma":[0.000339877,0.00008409353,0.001877687,0.0002578148,0.0008026207,0.00001426607,0.00004586922,0.0007144252,0.9894954,0.003919589,0.001873161,0.0005752018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986764,0.001475389,0.0003324428,0.0001658391,0.00006917208,0.0005123061,0.00004098055,0.000269716,0.01037011],"genre_scores_gemma":[0.9968249,0.0009212306,0.00006294828,0.00007310846,0.0002721687,0.0005463143,0.0001022486,0.0000865831,0.001110502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01006086,"threshold_uncertainty_score":0.9997773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01552119682295242,"score_gpt":0.2676154125698236,"score_spread":0.2520942157468711,"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."}}